m phil thesis topics in computer science data mining

M.Tech/Ph.D Thesis Help in Chandigarh | Thesis Guidance in Chandigarh

[email protected]

+91-9465330425

Data Mining

• About the author

How to choose a good thesis topic in Data Mining?

I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining .  Therefore, in this this post, I will address this question .

The first thing to consider is whether you want to design/improve data mining techniques , apply data mining techniques or do both.   Personally, I think that designing or improving data mining techniques is more challenging than using already existing techniques.  Moreover, you can make a more fundamental contribution if you work on improving data mining techniques instead of applying them. However, you need to be aware that improving data mining techniques may require better algorithmic and/or mathematics skills.

The second thing to consider is what kind of techniques you want to apply or design/improve? Data mining is a broad field consisting of many techniques such as neural networks, association rule mining algorithms, clustering and outlier detection. You should try to get some overview of the different techniques to see what you are more interested in. To get a rough overview of the field, you could read some introduction books on data mining such as the book by Tan, Steinbach & Kumar ( Introduction to data mining ) or read websites and articles related to data mining. If your goal is just to apply data mining techniques to achieve some other purpose (e.g. analysing cancer data) but you don’t know which one yet, you could skip this question.

The third thing to consider is  which problems you want to solve or what you want to improve.   This requires more thoughts.  A good way is to look at recent good data mining conferences  (KDD, ICDM, PKDD, PAKDD, ADMA, DAWAK, etc.) and journals (TKDE, TKDD, KAIS, etc.), or to attend conferences, if possible, and talk with other researchers.  This helps to see what are the current popular topics and what kind of problems researchers are currently trying to solve.  It does not mean that you need to work on the most popular topic. Working on a popular topic (e.g. social network mining) has several advantages. It is easier to get grants or in some case to get your papers accepted in special issues, workshops, etc. However, there are  also some “older” topics that are also interesting even if they are not the current flavor of the day. Actually, the most important is that you find a topic that you like and will enjoy working on it for perhaps a few years of your life. Finding a good problem to work on can require to read several articles to understand what are the limitations of current techniques and decide what can be improved.  So don’t worry. It is normal that it takes time to find a more specific topic.

Fourth,  one should not forget that helping to choose a thesis topic is also the job of the professor that supervise the Master or Ph.D Students . Therefore, if you are looking for a thesis topic , it is good to talk with your supervisor and ask for suggestions. He should help you.  If you don’t have a supervisor yet, then  try to get a rough idea of what you like, and try to meet/discuss with professors that could become your supervisors. Some of them will perhaps have some research projects and ideas that they could give  you if you work with them. Choosing a supervisor is a very important and strategic decision that every graduate student has to make.  For more information about choosing a supervisor, you can read this post : How to choose a research advisor for M.Sc. / Ph.D ?

Lastly, I would like to discuss the common question   “ please give me a Ph.D. topic in data mining “, that I read on websites and that I sometimes receive in my e-mails. There are two problems with this question. The first problem is that it is too general . As mentioned, data mining is a very broad field. For example, I could suggest you some very specific topics such as detecting outliers in imbalanced stock market data or to optimize the memory efficiency of subgraph mining algorithms for community detection in social networks. But will you like it? It is best to choose something by yourself that you like. The second problem with the above question is that choosing a topic is the work that a researcher should do or learn to do. In fact, in research, it is equally important to be able to find a good research problem as it is to find a good solution . Therefore, I highly recommend to try to find a research topic by yourself, as it is important to develop this skill to become a successful researcher. If you are a student, when searching for a topic, you can ask your research advisor to guide you.

Also, just for fun, here is a Ph.D thesis title generator .

If you like this blog, you can subscribe to the RSS Feed or my Twitter account ( https://twitter.com/philfv ) to get notified about future blog posts.

Related posts:

482 responses to how to choose a good thesis topic in data mining.

Good article.

i need your guidence to select a topic for research in data mining area????

Then, I suggest to read the blog post on top of this page. It provides guidance about how to search a topic.

thank you for your guidelines

Really good one….

Sir, i want to do Ph.D on data mining but i am not a good programmer so please tell me the topic of research on data mining or any other area which need no programming skills.

plz take it urgent. Hoping for your reply at the earliest.

If you want absolutely NO programming and still do some data mining, then I think that you would have to go toward mathematics and statistics. Or you could do some applied data mining. For example, you use some already made data mining tools or software such as Matlab or R to analyze some data. The contribution would be to do something new with the data instead of proposing new algorithms.

For finding a specific topic, you can read the blog post above which explain the steps for finding a good topic.

i am interested in page ranking topic for my mtech thesis in data mining. Can you suggest me some sources from where i can get good information about the topic?

I don’t work on this topic. So just using Google Scholar could be a good idea.

Hiee mam can I get ur mail I’d I want to discuss for thesis

Yes Sir, Mr. Mohd Shahid Khan said right for those who can not do programming and the same problem with me also so please suggest those topics through which I can do my project in data mining in M-Tech as you said in his reply that “use some already made data mining tools or software such as Matlab or R to analyze some data. ” So please suggest me on this type of topic.

The goal of this blog post is to explain how to search for a topic, rather than give topic. It takes time to find a good topic, so I cannot do it for you. But you can read the blog post to understand how to search.

HI. I want to do a Ph.D. in statistical data mining. But it is difficult to choose a topic. There are too many data mining topics. I’m thinking of improving decision tree mining algorithms with statistical validity tests. Is it a good idea?

I’m not working with decision trees, but it seems like an interesting topic. What is important is that you will propose something new that has not done before and that is useful. I think that it could meet these criteria. I would recommend to read about what has been done on statistical validity tests with decision tree, to try to see what can be done. Note that, even if you choose this as your project, it is possible to change the orientation of your research later on.

Hope this helps,

Many people have already worked on extending statistics to various types of classifiers. Try to do research on Ensemble classifiers and other types. As you are interested in decision trees, I suggest you to look at the usage of emerging patterns.

Sir, i want to do Ph.D on data mining but i am unable to find any problem in data mining so please tell me the problems on data mining or any other areas. plz take it urgent. Hoping for your reply at the earliest

Data mining is very broad. I could give you some topics, for example, what about applying neural networks to recognize music, using association rules to classify medical data, improving the memory efficiency of clustering algorithms, sequential pattern mining algorithms, etc. I mean, I could suggest you a lot of topics like that. But data mining is a very broad field. It would be better that you like. Do you have any specific interests in data mining?

I am looking for a research topic within data mining. I read your this reply and I am interested in neural Networks. Please suggest me a topic and where to start looking for it ?

Thanks & Best Regards, Jyoti

If you are interested in neural networks, then I see two possibilities: improving neural networks or using the neural networks in new ways…

I’m not an expert on neural networks so i don’t know what are the current research issues on this topic. I would recommend to read the titles and abstract of articles from conferences and journals on neural networks such as http://www.ijcnn2013.org/ and http://www.icann2013.org/ http://delab.csd.auth.gr/eann2013/about%20eann%202013.php You could also search on google scholar for recent articles to get some pdf.

This will give you some ideas about what is the current popular topics related to neural networks. Then you need to find one that you like.

If you have chosen your supervisor already, I think that you should also discuss that with your supervisor.

Hi Jyoti I am interested in this topic Maybe we can help each other [email protected]

hello sir ,

Am willing to do research in data mining, can you suggest a good topics in data mining

I have answered this question in the blog post at the top of this page.

sir i m interested in data mining .but i feel troublin choosing my research topic kindly suggest me topik i shal b grate ful to u thanks

You should read the blog post on top of this page. It explains how to find a topic.

my area of interest is medical data mining can you please suggest some topic on it ?

No. I don’t work on medical data mining.

I am looking for a research topic within data mining in Big data. Please suggest me a topic and where to start looking for it ?

Thanks & Best Regards, arvind

Did you read the blog post?

sir, i would like to work on the concpt of audio and video streaming in dataminig. which topic will suitable for me for resarch. Please suggest the topic,

I’m not familiar with the topic of audio and video streams. You would need to do some literature review to know what people have done on this topic.

“Philippe Fournier-Viger”u r saying iam not familiar in this and that plzz mention in post in which area you are familiar

If you want to know about my areas of research you can have a look at my webpage: http://www.philippe-fournier-viger.com

Sir, iam seraching for a thesis topic in Data Mining for my M.Tech course. I select Cloud Mining but in this topic what i have to do i dont know. Please suggest me.

Thanks & Regards

In cloud mining, you could write some parallel data mining algorithms that can run on the Map Reduce framework. This is just an idea. There is certainly many other topics on cloud mining.

Thanks for the good articles. I want to do research on Data Mining Applications to Agricultural Field topic( I feel this interesting topic as of now). What would be the best topics on this. How to approach to these? Is that could be a good idea or not?

Yes, i think it can be good idea. I’m not familiar with agricultural field so I cannot tell you what are the best topics related to this. But you can find this out by doing a literature review. What you could do is to find a problem that people in the agricultural field have and then to see what data mining technique can be applied and what are the limitations. Then, if you could extend the data mining technique to address the limitation, it would be great.

Thanks Philippe for quick reply. I am reading all your articles and will follow them. Mean while understand the data mining algorithms using your suggestions(books,from open source software, etc). Try to implement small algorithms and get confidence…. Will contact you If I need a suggestions. Thanks

Hello Sir, I am Student of M Tech(CSE) and i want to do research on data mining and mine area of Interest in “Web Usage Mining and Social Network Mining”.Can u suggest me Certain topic regarding this Mining Area……

It is a good area, especially social network mining, because it is popular, right now. But to find a specific topic in this area, I cannot help you. You need to do a literature review.

Hello sir can I get ur mail I’d . sir I want to discuss in this

Hello sir, I like to do research in data mining sir but I do no what to do? And how to do? Please help me.. my guide is asking me research topic. I do no anything.. pls help me to find good topic sir in data mining or please tel me any nice topic. I do no what current process is going on data mining sir…

Its very ugent sir please help me pls..

thank u sir…

If you had read the blog post, I wrote that the question “please give me a topic in data mining” is too general. You should first learn about what is data mining and what are your interests in data mining because data mining is a very broad field. If you just ask for a topic in data mining, then I could suggest you any random topic such as: improving the memory efficiency of frequent subgraph mining algorithms for the case of uncertain data with applications in social networks. But will you like it? I think that it is better that yo u find a topic that you like. In the blog post, I gave the information about how to find a good topic.

Thanks sir,

And suppose i am selecting the Social Network Mining as a My Research Topic can u tell me for the Implementation purpose which Programming lang. or the tool is required? is there any specific Web Site from which i can get the Source Code

I do not work on social network analysis so I cannot help you too much. I know that some social network datasets are available on the web such as the DBLP dataset. There is some datasets here for example: http://snap.stanford.edu/data/ You can also find more by searching on Google.

I know that there is a conference called ASONAM about social network mining. You could check what is published there to get some ideas of what researchers do on this topic and there is some journals about social network mining such as this : http://www.journals.elsevier.com/social-networks/

For the programming language, I think that you can use anything you like. However speed is sometimes important in data mining. So I would not choose a language like PHP that is considered slow. Personally, I would use a language like C++, Java of C#, because they have good performance. But it may depends on what you do…

For source code, I don’t know. You would need to search.

hello sir.,

In ‘improving the memory efficiency of frequent subgraph mining algorithms for the case of uncertain data with applications in social networks’ its already researched sir you can see in this website… http://dl.acm.org/citation.cfm?id=1646028

thany u…

It is not a problem if someone has already worked on a topic. You can do something differently or better.

By the way, I just gave this topic as an example.

Very helpful post. I’ve somehow managed to choose a topic but I don’t know weather it’s a good topic to continue on my Ph.D or not. I’m masters student and I’m working on “online microbloging/social networks’ stream mining”. I want to know your opinion on this topic as an expert in data mining domain.

I think that it is a good topic. Social network and micro-blogging are popular research areas, right now, and it is good to choose something that is popular. Stream mining is also an interesting topic because it is more difficult than mining a static database.

Hi Philippe , A very Big thank for this article , It helps me lot . I m interested in “using association rules to classify medical data” , will you please give me more specific idea , in which way I could do research for this topic . how can I improve already exist research work in this topic.

I think it can be a good topic. In my opinion, for this kind of topic, you can have two contributions: (1) a contribution is mining the medical data to do something useful and (2) the second contribution is maybe improve some association rule mining algorithm so that it work better with your data.

It would be important to find some medical dataset for your project. Would it be patient record? datasets about drugs ? datasets about genetic data? datasets about diseases? etc. I don’t know. You would need to search for some data. You could have a look at what is available on internet. Or you could also see with your supervisor if you can obtain some medical data at your university if there is a medicine department. Ideally, you could collaborate with some people working in the medicine department that could help you about understanding medical data in your project and tell you what is important..

After you got your data and you know what is the goal that you want to do with your data, you could apply association rule mining and see what are the problems that you have with the current algorithms. Then, you could find some way to improve them so that they better suit your data and what you want to do with the data. For example, maybe you find that current algorithm cannot do X. Then you find a way to modify it to do X, whatever X is. Or if you find that association rule is not the best solution, then you can use something else.

For improving algorithms, you would need to understand the current algorithm and see what they cannot do for your medical data.

Thanks Philippe

hello sir can u suggest me some topic regarding “Frequent Pattern Mining”

I like to do research in healthcare using data mining.

please give me more specific idea about this topic.

You can make two kinds of contributions: – contribution about doing news things with the healthcare data by applying data mining algorithms – creating some new data mining algorithms or techniques that are better than existing techniques or deal with specific problems in healthcare data.

For more specific topics, I cannot help you because i’m not a specialist in healthcare. Furthermore, I gave the steps in the blog post about how to search for a good thesis topic in data mining.

hello sir, i am searching for the m.phil thesis topic in datamining and give some idea about the thesis paper.

You could start by reading the blog post above. In the last paragraph, I mention that the question “give me a topic in data mining” is too general.

sir i want to do research in data mining in the field of clustering please mention any new suggestions on this topic

Clustering is good. But you need to find something more specific. For example: improve the speed or memory usage of some clustering algorithms? modify the algorithms to handle new types of data? use the algorithms to perform something better? propose some new ways to detect outliers in clusters? …. I just say that as examples. You would need to do a literature review to know what is a good topic and what has been done in clustering (I don’t work in this sub area of data mining).

Sir, i want to prepare a journal on data mining.its a part of our syllabus.so could you please suggest one topic on data mining. take it urgent. Hoping for your reply at the earliest Thanku

Respected sir, I am Mtech student and m going for resarch in data mining…my guide says for selecting a particular field like data mining or cloud mining .sir plz suggest me which is best..

Data mining or cloud computing? I think that both are ok and popular in the industry. So to choose one depends on what you like.

sir if i select one from both data mining and cloud mining plz give your idea…….

You could design a new data mining algorithms that can run on the Hadoop technology for cloud computing. It could be a clustering algorithm, a pattern mining algorithm, a classification algorithm… or something else. Then when you design an algorithm, you need to show that it is faster, more memory efficient or that it performs new things that no other algorithm can do, or be used to do something new. If you do a literature review, you should be able to find a good topic.

sir what can i say to guide data mining or cloud mining………

As I said in the blog post, you should do a literature review so see what has been done and what can be done. This, you need to do it by yourself.

hi what about opinion mining? is it good topic for master thesis?

It is a good topic. I think that there should be many interesting challenges related to opinion mining. It could be challenges specific to a language (e.g. French, Spanish, etc.) or a specific type of opinions (political, etc.), or some technical challenges (improving the accuracy), etc.

thanks. is there a software for opinion mining? for example i know clementaine for data mining.

Maybe. But I don’t work on this topic so I’m not aware of this.

what about data mining in cancer, diabets and heart disease data? are they good? or they are old?

There are certainly some things to do on these topics (you would need to do a literature review to see what has been done recently). For medical topic,s a challenge is to obtain medical data and find a specialist that could guide you about what the data means and what would be important to do with this data. If you can have access to medical data (maybe that there are some on the web too), it could be great.

sir i want to start mtech thesis in cloud mining or web mining sir plz suggest me any suggestion………..

I suggest to read articles from recent conferences on these topics to see what has been done recently. This will help you to choose a topic.

Hello sir, the subject of my thesis is the prediction of links in social networks. What is your opinion and do you can help me with some ideas.

I don’t know much about social network mining. If you want to know what is the latest research on this topic, you would need to do a literature review (search for articles on this topic in recent conferences/journals).

first of all i would like to give my thanks for the article. It is really vry helpful for new researchers . I want to do Phd in “Data Mining on e-learning ” plz suggest me some research topic on it.

You should look at recent conferences about data mining & e-learning to see what are the current topics and see if there is something that you like. For example: EDM, AIED, ITS, ICALT, EC-TEL etc.

Thanks for excellent support to researchers, my topic is privacy preservation in data mining. Is topic is good to work on? can u pls. suggest some problems on this topic. I am interested in consumer behavior and dental field. thanks in advance..

Privacy preservation is definitely an important topic, since more and more data are collected about individuals or other sensitive topics and it is important to protect it. For the challenges, and finding a good specific topic, the only way to find out is to do a literature review (read recent recent articles on privacy preservation to see what other researchers have done on this topic recently). Me, I don’t work on this topic, so I don’t know what is the latest research on this topic.

Thanks for your help sir..

Its great that science doesn’t require any boundary..

Thanks for your expertise.

You are welcome! 😉

Hi Philippe , A very Big thank for this article , It helps me lot . I m interested in “using association rules to classify medical data” , will you please give me more specific idea , in which way I could do research for this topic . how can I improve already exist research work in this topic.

You could: (1) improve association rule mining algorithms (2) apply them in novel ways on medical data or to perform something better by using association rules (3) do both (1) and (2).

But you need to define more precisely what you want to do with medical data and what kind of medical data. Personally, I have no knowledge about medical data. The only way to find out is to read articles on this topic or to find some expert from the medical domain who could guide you about what is challenging in the medical domain. Also, maybe you can check if someone has done a similar topic before and identifies what are the limitations of their work. This could be a starting point.

You could also start by searching for medical data because you need data if you want to do data mining! Depending on the data that you can get and what you want to do with the data, it may gives you some hint about what are the problems with the current association rule mining algorithm for this task and what could be improved.

Hello sir, I like to do research in data mining sir but I do no what to do? And how to do? Please help me..

As I said in the blog post, data mining is a very broad field. If you don’t know what you like in data mining, then perhaps that you need to read about data mining first (e.g. an introductory book), or read articles from recent data mining conferences and see if there is a topic that you like.

sir i have to choose a topic in data mining for thesis in mtech having to read this blog i got topic which i like are using association rules to classify medical data so suggest me how initiate work on this

I have answered this question already. You can read my answer, two messages above this one.

Hello sir, I like to do research in data mining sir but I do no what to do? And how to do? Please help me.. my guide is asking me research topic. I do no anything.. pls help me to find good topic sir in data mining or please tel me any nice topic. I do no what current process is going on data mining sir…i hv no knowledge of programming more.

As I said in the blog post, I will not answer the general question of “give me a topic in data mining”, as data mining is a very broad field and I will not do a literature review for you to find a good up-to-date topic. I suggest first reading about what is data mining and then to look at recent papers published in data mining conferences and choose something that look interesting .

Hi   If I want to do data mining using fuzzy logic, can you help me

You need to define your topic more clearly. Fuzzy logic is a technique for representing fuzzy things. But then, what you want to do with fuzzy logic? You want to apply this to what kind of data? Why you want to apply fuzzy logic to this data? What is your goal?

sir i m doing research in cloud plz suggest me any area or artical or topic.

You need to read articles from recent conferences to see what people have done on this topic recently, as I explained in the blog post. This will give you ideas about what is interesting for this topic.

Hi I have great interest in data mining. but my professor field is not data mining. but I want work on data mining. Will you please help me in this regard. or suggest me person that work on data mining. I’ll give you the final results. I hope you can help me

Maybe try to find another professor at your university that is working on data mining?

hi i am M.tech student i want to do dissertation in data mining my interest to do research in security in cloud computing with data mining can you pls suggest better topic or any idea about data mining in cloud computing pls give me quick reply its very urgent!!!!!!! pls…….. thanx

As I said in the blog post, I suggest reading recent articles related to your topic in recent data mining conferences/journals to see what is popular right now and find a topic that you like.

Hi ankita , I see that you post this almost a year ago and i have the same interests in my research. So how was it!? and what suggestions you may kindly offer to enhance my proposal.

many thanks dear. Firas M.A

Hi Philippe,

Fantastic website, Recently I’ve started my 4th year of college and have chosen data mining as an elective. Im looking into the major challenges faces in adopting data mining techniques within the public and private sectors. Just wondering could you steer me in the right direction.

Many thanks, Colm

Thanks. I’m glad that you appreciate the website.

I’m into the technical aspect of data mining. I’m a professor in Computer Science. What I do is that I design some data mining algorithms and we apply them in some research projects. I don’t work closely with the public/private sectors since I’m working on the fundamental aspects of data mining (algorithms). So I cannot give you a lot of information about the challenges for adoption of data mining techniques.

Some challenges that come to my mind are: – you need some trained people to understand what is data mining and how to analyze the data (e.g. data scientist) – data mining techniques offered in data mining software are not always well-suited to all domains. All data mining software offers a limited choice of data mining techniques. If they don’t fit with what the company wants then you perhaps need to hire some data mining specialist to design something custom. -…. Philippe

Fantastic, That’s a great start none the less. I appreciate your reply. Thank you again.

sir m doin a research on Research issues on web data mining is this a good topic… i have read the introductory part nd some pdf also what else i can do in that in order to make my research better.

Yes, web data mining should be a good topic. Then, I think that you need to continue reading on this topic. By reading on the topic, you will see what people have done recently and get some ideas about what you can improve or do differently. It is important to know what other people have done before starting to do a research project.

I’m MSc student interested in data mining for my thesis. I have got a good approach how to do my thesis. Your suggestion is valuable. My thematic area is weather forecasting, what do you help me in identifying specific title. It is urgent! Thank you very much

This is great information, thanks’ for share!

Dear Sir/Madam

I am pursuing M.Tech(CSE), I want do project in data mining, and also same project need to PhD thesis after MTech. Shall you give me good research topic on data mining? Please reply me Thank you

You can read the last paragraph of the blog post starting with “Lastly…”. It answers this question.

i need to make my thesis in data mining using cluster algorithm for web pages to make semantic web

I have choosen mood identification from music data as my topic.its a part of multimedia data mining.so i want to research using data mining algorithm.so can you give me suggestion on this topic.

thank you sir.

sir, i want to do research in data mining for my m.phil. how can i find a topic for my research or give some topics for suggesstion. or any website/book i can refer pls give that address/bookname

thnks in advance

You can start by reading the blog post.

hi sir, i want to do my mtech theisis on clustering or classification. can u suggest any new topic in this field???????????? thank you sir

your type of article should be encouraged in research development. the article has directed my path on how I can come up with a researchable topics. I will still call on you after following your laid down approach to data mining. thank you Sir

Glad that you like the article and that it is helpful.

I want to do my PhD work for privacy preserving in data mining for various transactions.Suppose I purchased items among a b c d e f g h 1 0 1 0 1 1 01 . 1 means I purchased that particular item and 0 means not purchased.Which kind of technique I can apply in to protect binary data.I think the Privacy can be protected by using some cryptography algorithm.I am little bit confused how I can implement my idea with these binary transactions. please help.

Yes, I think that you can encrypt your data using an encryption algorithm.

The fact that the transaction is binary or text should not make any problem for an encryption algorithm. In any case, you will give data to the algorithm who will generate encrypted data.

To know how to do it in a particular language such as Java, etc. you would need to see what are the encryption algorithms available and search for some tutorials, I think.

i m doing thesis in cloud mining secuirty,sir plz suggest me any important topic………

I think that you need to define your topic more clearly. Cloud mining is a too broad topic. You need to make a literature review to see what is interesting in this area or discuss with your research advisor. Me, I don’t work in this area of data mining and I will not do the literature review for you 😉

Hello. I’m a Business Analytics (M.Sc.) student. I would like to write my thesis about a specific problem on business data which can be solved by a data mining algorithm. I like the kind of problems from the Data Mining Cup. I can not decide on any specific algorithm right now but I know that the problem should be business oriented. I would be thankful for any advice.

sir i am an assistant professor in comp. aplications. i am interested to do a research in agricultural field especially in cardamom cultivation. it would be helpful if you suggest some related topics to the starting of the work

Hi Your opinion do we work on the subject ‘ data mining based constraint’

What is “data mining based constraint”? Data mining with constraints? This seems too broad. I think you need to define topic more clearly.

Sir, I m interested in “using association rules to classify medical data”, but i am not so good in programming.Is it possible for me to continue this topics without programming or is the source code available in the web site? if source code is needed , will you able to provide me some links for source code?

There are some source code for association rule mining such as my own data mining library: http://www.philippe-fournier-viger.com/spmf/

However, if you want to make a Ph.D. in Computer Science you will most likely need to do programming because doing a Ph.D. or Master degree in Computer Science without doing programming does not make sense, I think.

Another possibility is to do a thesis from a mathematic perspective if you don’t want to do programming.

hello sir special thanks for the article. sorry if it is also includes in the “can’t be answered ” questions. I would like to do my Ms thesis regarding Social network analysis, I do some research but I can’t decide yet ,which filed: could you suggest me some more conference or journals regarding this topic despite from http://asonam.cpsc.ucalgary.ca/ and http://www.journals.elsevier.com/social-networks/ which you already mentioned or any other way to extract open areas in this field.

thank you so much regards,

I don’t work on this topic so I cannot help you much. To answer this question, I would need to search just like you would do.

Sir, i have to work on “finding closed frequent patterns and their association rules” on data mining, i’ve tried but cant find better approach to work with, so please tell me some parameters and approaches that can improve the efficiency. thanks

If I had a very good idea about this I would keep it for myself as I also work on pattern mining 😉 There are certainly some ideas but it takes time to find a good idea and when you got a good idea is better to keep it for your own research. If you cannot find one, then you can consider variations of the problem of association rule or itemset mining. For exampple, if you consider uncertain itemsets, fuzzy association rules, etc. etc., then maybe these topics are less explored and it is easier to find some ideas. This is just some thoughts. In my opinion, it is easier to create a new problem or a new algorithm for a variations of the problem of association rule mining than to try to make something faster than the best algorithms for association rule mining.

can you please tell me few research topics on fuzzy multimedia data mining related topics

Hello Sir, I’m interested in Big data. 1. How does data mining and Big data are related ? 2. I scanned the internet for Big data architecture, i cant get clear picture of it. Can u suggest me a standard article or book for understanding Big data ? 3. how to develop a own architecture for large data handling ?

Sir, can you please tell me the research topics in data mining for m.tech thesis. i am not good at programming.

Did you read the blog post? It explains how to search for a topic.

Sir,I need some topics which have less programming to do as a project.please suggest me some ideas.

Please read the blog post carefully. It explains how to search for a topic.

sir! give me some idea that what new can i do for “feature subset selection” in data mining….

I don’t work on this topic.

Sir, Im dng Mtech my research area is datacube Materialization & MapReducing.. can you gve some suggessions for me..

I would simply suggest to apply the advices that I gave in the blog post.

Really good. Many thanks to Mr.Philippe for his replies.

i am searching Ph.D research topic in privacy preserving data mining

Did you found your topic

Sir, May I get data set for doing my research on “data mining for elearning” pl repy.

You may find some by searching on the web or you may record your own data if you have some e-learning system at your university. There also exist some educational data repository like PSLC datashop: https://pslcdatashop.web.cmu.edu/ But personnally I would prefer to generate my own data than to use the data from someone else.

Sir, I am doing M.Tech in Computer science and technology. i want to do final project on data mining but i am unable to find any problem in data mining so please tell me the problems on data mining or any other areas. please take it urgent. I look forward for hearing good response. Thank you. Neeta Jadhav

This blog post explains how to choose a topic in data mining. That is the point of this blog post. Have you read it?

sir, I m student of Mtech and I am not able to find topic for my thesis can you suggest me some interesting topics.

The whole point of this blog post is to explain how to search for a topic. I suggest to read it. Moreover, as I wrote in the blog post, I will not answer this question.

Sir, I am seraching for a thesis topic in Data Mining for my M.Tech course.

can you suggest me some recent topics, I m not able to find any topic. just suggest me some topic so that I can start reading about it.

memory efficiency of clustering algorithms, is this topic is good.

I think it can be a good topic.

But you would still need to search a little bit to see what has been done already.

I am doing an undergrad research on multimedia mining can you suggest a topic?

No sorry. Looking for a topic takes time. You need to do a literature review to see what has been done before. I cannot do this for you.

Hello sir, I’m doing my thesis on closed frequent patterns and association rules, i am trying to find it by combining “n-list” and “charm” , So, how can i use any frequent pattern finding structure to find closed patterns, or is it possible. Any guidance plz….. Thanks,

There are many ways to solve the problem of closed itemset mining. Several algorithms have been published. To my knowledge, LCM should be one of the fastest according to the last FIMI competition in 2004. Other fast algorithms are DCI_Closed, FPClose, Charm etc. So, yes there are certainly still possibilities to improve these algorithms.

How to do it ? I would say to read recent articles to see advances or ideas in that could be transposed to closed itemset mining. Or to try to find new ideas. However many research have been done on this topic. To make a significant contribution on this topic one would preferably need to compare his new algorithm with the fastest closed itemset mining algorithm.

About nList, I have briefly read about it and it seems to be another variation of the FP-Tree. Therefore, perhaps that it would be easier to use it with FPClose than Charm…. I don’t know. Besides, I have noticed that the author of nlist seems to be posting links to his own article on many internet forums including on my own forum several times. I had checked the paper but I was personally not convinced by the experiments.

sir, i want to work on data mining in cloud computing? can u suggest me any appropriate topics related to this field. balvinder taneja

I would suggest to apply the recommendations that I wrote in the blog post on top of this page.

Sir, I am seraching for a thesis topic for my M.Tech course. can you suggest me some recent topics, I m not able to find any topic. just suggest me some topic so that I can start reading about it. n my area of interest is network security or data mining

As I said in the blog post, I will not suggest any topics. Looking for a topic takes time and I don’t have time to search for topics for other people. Moreover, as I explained in the blog post, you should choose a topic that you like, not a topic that someone else has chosen for you.

If you have no idea what to do about data mining and network security, then a good start is to search for papers about data mining and network security in Google Scholar to see what other people have been doing on this topic.

Really nice article , I just want some research topics using clustering

Hello Sir, I am very glad to know that someone is guiding the humanity in some way, like you through such a honestly interesting page. Sir i am searching for my thesis topic ……..but after studing your kind blog and following your steps I am going to do my research in obtaining a data about earth properties and their environment and materials condition and based on that data i am going to know that to some extent that in this place there is occuring that ratio of iron , gold water etc.. Is this will be good for me . Need your kind reply. thanks in advance.

Hello, Thanks. Seems like a good topic to me. But you would still need to see what other people have done before to see what you can do differently or improve.

thanks sir plz help me in this i will inform you daily…

sir, what possible topics can i do if i like to work on text mining i want to do a research that can be use to our school can you suggest some ideas ?

plz reply thanks mr.phillipe

As explained in the blog post, to find a good topic, you should do a literature review. It takes time and I cannot do this for you.

I want researches about applying Data Mining techniques on master and PHD thesis and dissertations database. Thanks.

You can use tools like Google Scholar to search for articles.

Sir i want to do my mtech thesis on page ranking algorithm in data mining. Please suggest me some good topic in this for my thesis.

The blog post explains how to search for a topic. Did you read it ?

Firstly, I would thank you for useful article, then I am interested in clustering techniques for Data mining. Please guide me a topic for my PhD dissertation. My email is [email protected] thank you.

Hi, As explained in the blog post, I would suggest you to do a literature review on this topic to find out what has been done recently on clustering. You can start by searching on Google Scholar to find some recent articles on clustering and to see what are the current challenges.

Best regards,

I am doing my research work in recommender systems (Data mining area) and concentrating attack concept. Now i am seeking classification, clustering algorithm. which one is the best and how to proceed?

I have no idea what is “concentrating attack”. I think it depends on what you want to do. Classification is generally to classify instances in a set of predefined categories. Clustering is generally to automatically create categories. So they don’t exactly do the same thing.

i have decided to do my thesis on focused web crawlers for gathering educational material on the web. i just wanted to know if this topic is relevant in today’s time , i hope it not a very old topic?

I think it is ok. It depends on how you do it. You need to read articles on this topic to see what has been done already on this topic. I personally don’t know what has been done on this topic. Depending on what has been done, to make a good research work you need to improve or bring some new ideas. If you can do that on that topic, than the topic should be good.

Hi, I am looking for a research topic within data mining. I am interested in multimedia data mining in social media with social event detection as an application. My problem is to find a gap and a topic for my thesis. Please suggest me a topic and where to start looking for it? Best Regards, Sam

As I said in the blog post, looking for a topic takes time. You need to look for it by yourself or ask help from your research advisor. If you have no idea where to start, then I suggest to just search the keywords that you know in Google Scholar to find some articles or look for some general survey articles perhaps to get an idea about the whole domain first. Then when you find something interesting, look deeper.

Hi I am a Phd student of medical datamining but Im still trying to identify my research questions … I am looking on applying datamining algorithms on clinical datasets as i dont have strong programming skills…could you please suggest any new applicable methods that is yet to be explored as my possible reseach questions?

Thanks, Hope to hear from u soonest!

I don’t have time to search for you.

hello I like to do datamining on blood transfusion data plz guide me how I can define subject about it

Hi Philippe

It is truly astonishing to see how many ‘graduate’ students completely misread your post! I stumbled on this post during my own search for masters ideas, and I guess I got my night’s entertainment too.

Good post, and I applaud your patience.

Hi Francois,

Thanks. 🙂 I now have the proof that someone has read the whole blog post 😉

I read your blog too and I also translate and put it on my website to help thousands of students who are concerning about their topics!

Great job. Thank you very much!

That is great. If you translate the content word by word, then please cite the original website as the source of the text.

Hi, thanks about your recommendations they are so help full. can you plz recommend some topics about outliers in data mining. I read all of the comments but i could not find any related things . is it some topic that common or it was old and have not any new thing for research. thanks alote philip.

If a research area become less popular, it does not mean that there is nothing interesting to do. There are always some research problems. You just need to find one.

For specific topics, I recommend to follow the steps in the blog post, which starts by doing a litterature review.

hi sir can you please tell me related topics on Analytical hierarchy process in data mining for Ph.D. Please give me more specific idea about this topic. Plz reply s soon as possible

Hello, I don’t work on this topic. You would need to do a litterature review as explained in the blog post.

Hello sir, I have to give a research proposal for M.phil in computer science. can you please suggest me some brief review type of research topic in neural networks(extensible).

No. I don’t have time to do it.

Sir i want to relate data mining in agriculture.. but i’m unable to find any specific thing. plz guide me for my PhD topic selection

As said in the blog post, you need to do a literature review and/or ask your supervisor to help you.

I want to do my research in data mining…

please sir can I apply any data mining technique on DIP..

or to develop any data mining technique for image processing…

I don’t work on image processing but there are certainly some way to apply data mining on images.

For example, there are some works on spatial association rule mining to find patterns in geographical data. This geographical data could be extracted from satellite image before applying the data mining algorithm. This is just an example. You would need to search to find more information about the possibilities.

data mining have different technique like svm ,ANN , PCA, decision Tree ,rough set theory, clustering that are mostly used for DIP

Hi If i can use current method of text mining for another language, for example English method for Arabic, would it be a new challenge for my thesis and write a new article? Arabic language is different from English, so by using current method in different langue i can achieve new result.

From a data mining perspective, it is a new challenge, if the method do not work well with Arabic and you need to modify the method to make it work for Arabic. If the method just work for arabic without modifying it, it would seem too simple, perhaps. But text mining is not my specialty. You may have a look at papers about text mining for other languages to see how they have presented their work.

Hi It is about a year that a write a comment here :). On that time I choose opinion mining as my thesis topic. I work hard to fine a new approach in opinion mining. But you know, I was not so successful in this way. I make a new sentiwordnet for a new language from existing wordnet. but I couldn’t suggest a new method. some one told me, that by combing existing method I can introduce new one. but how can i do that ? for example by combing svm and naive bayes how can i create a new method? really I need your help. how can I continue my thesis in a way to find a new idea? thanks

hi hello , im student of MTECH 1st year and want to do reseach in data mining , by which i can easily take admission in phd programe .. so tell me topic which have wide scope of research ?

I really need more help into the research of mining and what questions I should research more on it is due tomorrow and I do not know anything

I need help to answer the questions I am a year 12 pa student from international overseas

Sir, can you please help me, i am searching for PHD research topic, i am thinking for context aware computing in mobile computing.is it a good topic to move on?

I don’t work on this topic. It sounds ok but you need to do a literature review and maybe make it more specific.

hi,i need help i must impelementation this paper with c# but i dont know how do ?plz help me

A Novel Method for Privacy Preserving in Association Rule Mining Based on Genetic Algorithms Mohammad Naderi Dehkordi Ph.D Student, Science & Research Branch, Islamic Azad University (IAU) Department of Computer Engineering, Tehran, Iran

I cannot help you.

Yes good article i really like it i will find out how we can improve better library services though data mining i will also try to learn it

Any management related data mining topic for MSc thesis? I don’t have much algorithm related knowledge , got programming knowledge in c/c++/sql.Please provide me some recent topic relatd to management related .

To find a recent topic, you need to do a litterature review or talk to your supervisor. There is no way around it.

dear sir i am too much confused that what topic for thesis should i select. if you have any good topic so plz guide me thanx .

if i want to do thesis in datamining first thing i need is the data sampel. but in our country people donot give any data.. then can you give me solution for findind the data samples for datamining thesis.

Then, you may have to collect your own data or to use public data from another country if there is some available. There are many websites that you can find using Google that offers public datasets that you can download. If you are lucky, there will be some public datasets.

Otherwise, depending on your topic, you could consider generating some artificial datasets but it may not be a good idea depending on your project. In general, it is recommended to use public data.

can you say me how can i collect the data sets required for datamining because it is impossible in the country like nepal..

How to collect the data depends on what kind of data you want to collect.

For example, if you are doing data mining on network data, then if you have access to a webserver or router, you could just use the logs from the server or router to perform data mining. Another example is if you are doing data mining on source code from software. You could just download any open-source project and perform data mining on the source code.

On the other hand, for some types of data, it may be very difficult to collect data. For example, if you want to do data mining on medical records, it may be very difficult to get access to that kind of data from the government, unless some public data is already available.

it was very usefull article. thanks so much:-)

Thanks yr bog provides very important guidelines. sir I want to do Ph D in Data Mining. I read yr blog & from that i decided to do work in Data Mining on Medical Data(gynec or orthopedic). I can get database of patient, diseases etc as one of the my family members is a doctor. so pls could you tell me what can i do after getting a database.

It is good that you have data, but what is your goal ? what do you want to do with the data? Do you want to perform early prediction of who will get a particular disease? do you want to predict what will be the reactioon of a patient to some drug prescription? etc. You need to decide what you will do with the data. To do that, you should have a look at what other people have done by reading some articles on this topic.

Thanks for reply Sir i wanted to predict the baby born date and prediction of premature delivery. so can do , how to do

You would need to have some training data. Then you could train a neural network to do the task of prediction. Similar techniques to neural networks may also be used like SVM…

after selecting data how to select algorithm or method

In general, it is recommended to try the popular methods first. To know what is the popular methods for your topic, sometimes it is necessary to read articles on the topic. In your case, you could try neural networks directly I think. If it does not work well, then you would need to find something else by reading. Or sometimes in data mining, we even need to modify the algorithms to achieve what we want if there is no algorithms that are appropriate for what we want to do.

Hello sir, I am pursuing mtech. I have chosen opinion mining under data mining. Can you suggest some topics in it? Can you suggest which tool I should learn? I am free for 2 months. I want to utilize this free time in doing something productive in topic. So can u please help me ?? Thank you

As said in the blog post, you should do a litterature review, which means to read articles on your topic (opinion mining). This will allows you to find some topics. I cannot do that for you.

hello sir, i am willing to do research on data mining field, i have decided some topics like data mining techiniqs for online social networks and analysis, web mining for predicting user behaviours , topic detection and tracking .. out of them which one is suitable or how can i combine all these issues..

These topics are are quite general, so any of them would be ok. But in any case, you will need to define your project more precisely. And to do that, the only way is by reading papers on these topics and try to get some new ideas about what could be done better or differently, or what has not been done yet. To do this takes time, and you need to do it by yourself or with your the help of your supervisor.

I will be try for Phd in Psychological data & Data mining concept but my work that analysis of mind traffic. Psychological or spiritual concept & data mining Concept combined for research work &Is it contribution of Computer Engineering? suppose yes then please tell me right way……………….

Yes, it can be. It is definitely possible and interesting to combine Computer Science with other disciplines such as Psychology. Now, whether it deserves a Ph.D in computer engineering depends on whether you will be solely a user of the software of someone else or you will develop your own software program that solves non trivial computer science problems with respect to your application. You may also want to check previous thesis published at your university to see examples of Ph.D thesis subjects that have been accepted as PhD thesis.

Thanks for guideline…………….

dear sir i am completed mphil too much confused that what topic for thesis should i select. if you have any good topic so plz guide me thanx .

As I said in the blog post, I will not provide topics. But I explain how to search for a topic.

sir i am interested in data mining in educational or learning field for my m.tech dissertation can u give me some specific ideas abt it???

Data mining in educational or learning field is still a very broad topic. You need to define something more precise.

You could search papers in Educational Data Mining (EDM) and Learning Analytics communities (LAK) for papers on these topics. Or also in some e-learning related journals and conferences.

sir for decision support in dental disease prediction which kind of further research i can do for masters can u give me some idea about this ?

i need your guidence .. to choose my thesis topic on data mining

The blog post on this page explains how to choose a topic.

Sir, I was choose datamining for my phd. 2 years over.but still i did not choose proble. but my dataset is medical imbalanced liver data dataset. It’s correct or not .how to choose problem based on this things and how. please help me.

I think you should discuss with your research advisor to ask for some help in choosing your problem. I cannot give you any ideas since I don’t work on medical data and choosing a problem takes time. Actually, what you probably need is a medical expert that can tell you what are the important problems in the medical field that you could solve. Otherwise, you could have a look at related papers and see what other people have published on this type of data.

Sir, I was choose datamining for my phd. 2 years over.but still i did not choose proble. but., my minor project topic is TECHNOLOGY AND ITS IMPACT IN THE CLASSROOM. i think continue this topic . pls help related to data mining or big data. It’s correct or not .how to choose problem based on this things and how. please help me.

another question big data is new one. to choose related to the topic in TECHNOLOGY AND ITS IMPACT IN THE CLASSROOM. pls help

Hi, technology & impact in the classroom looks like an important topic for the society.

If you want to do data mining related to this, as I have described in this blog post, you will need to read research papers on this topic and to find something that has not been done before or that you think you can do better. I cannot help you to do this because it takes time to read papers. But you can ask your research advisor for help.

Another important point in data mining is that you will need data for your research, either by downloading it or by collecting your own data. Since the availability of data may have an influence on what you can do for your topic, you could also search on the web or ask authors of papers if they can provide their data, if you plan to use the data of someone else rather than collecting your own data.

Sir, i would like to do a Masters dissertation on the topic data mining in Automotive Diagnostics. Could you please suggest me some topics

For data mining, you need some data to do the mining. Can you obtain a database of automative diagnostics. If yes, then you could try to build a system that may automatically diagnose what is the problem of a car based on what he learned from the database. That is just an idea. I don’t work on this topic and I did not do a literature review. So it does not mean it is a good idea. As I said in the blog post, what you should do first is a literature review.

Sir I want to do Ph.d in Database. I have knowledge of Batch programming. But i am unable to find that how can i choose topic for research and how i use database and batch programming combination in research area?

Please help me.

In my opinion, if you want to do a Ph.D in computer science, you need to know some programming language like C++ or Java. If you only know batch programming (such as .bat files), it seems hard to do a Ph.D. in computer science.

Sir i have good knowledge of database also. i have done my internship in oracle. and i am very interested to do ph.d in database. but i am confused to choose a topic for research.

As explained in the blog post on top of this page, choosing a topic takes time, and you need to do it by yourself or with the help of your PhD supervisor. Basically, it requires to read recent papers to find what is popular topics now and think about some ideas or something that has not been done.

Sir can i choose “Data Mining Automation Process” topic for research area in Ph.d?

Helo sir, now i’m doing my m.phil computer scince, please give idea to select the topic in data mining area,

You can start by reading the blog post on top of this page. It gives you the steps to find a good topic rather than giving you a topic because finding a topic takes time and thus I cannot do it for other people.

And also need some research paper using clustering, now I’m interested to do my project in mat lab so give topic to related to using mat lab

hello sir, i have chosen “stock price prediction using machine learning algorithms” as my project topic…and i got information from my senior that we need to consider the stocks of america or London as Indian stock market is not so strong and we can’t get much data..but i don’t know from where i can get stock data for mining..and how can i access data and make use of it for mining in my project…please guide me from where can i get stock details of these countries stock market and how to mine that data??

I have not worked with stock data before. But usually, here are the ways to get data for a data mining project: – Find some data that have been collected by other researchers . If you read some papers that have used stocked data, they may indiciate that the data is available on their webpage. In that case, you can download it directly. If its not, you may contact the authors of the paper directly by e-mail and ask them for their data. You may tell them that you will cite their paper if you use their data. – Collect your own data . You could write a small program such as a web crawler to browse some website that offers stock data and collect it by yourself. – Check some dataset repository. There also may be some webpages that are datasets repository such as the UCI repository that offer many datasets. You may check them. But I don’t think that there are stock data on UCI, for example.

If you collect your down data, the advantage is that you will have all the data that you want. But you will spend more time to collect the data.

If you use the dataset of someone else, then, you may not have all the information that you want, because the other researchers may just have collected the information that he needed for their research.

hi….. really good one. this page especially helped me a lot as i am in my initial days for selecting my research topics this helped me alot like how to start? where to start? i am really thankfull to the advisor.

You are welcome!

Dear Philippe Fournier-Viger I have real benefitted from your blog. Most appreciated, it has real enlightened me on choosing my MSc research proposal.

Nevertheless, how do i write aproposal to be approved by the panel. Kind regards, Thaddeus

I’m glad that the blog has been interesting for you. Thanks for your feedback!

Hi Philippe Fournier-Viger I am a beginner in data mining. As i am going to carried out my Ph.D in data mining applied in bioinformatics. I am really confused how to start my work.

I really thank prof.Philippe Fournier-Viger for replies and help .

sir i want to choose a research topic in data mining sir what can i do for choosing a research sir i need those topic which are so sample and are not complex sir plz say me today

hello sir, i did my M.Sc research on enhanced data mining algorithm on online Electronic shopping please i want to some topics related to this for my PhD research works.

I cannot search a topic for you because it takes time to find a good topic. But you may read the blog post on top of this page which explains how to search.

Hello sir, I need your guidance to choose topic in conferrence,So sir please give ideas about some recent problems in data mining, and how to solve it?

I only have time to search topics for my own students. The goal of this blog post is to explain how to search so that you can do it by yourself.

sir,my topic is “stock market prediction using machine learning algorithm”, first thanks for your idea regarding collecting data from the different sources, sir now i am planning to use any machine learning algorithm in prediction and not understanding among SVM,ANN and K-Nearest Neighbour techniques which will be more suitable for stock prediction?? please do help

hello sir, i have chosen “opinion mining” as my project topic, my question is what is new”hot” areas. i know some topic like: 1. opinion mining classification 2. opinion extraction 3. opinion search and retrieved 4. opinion spam detection 5. quality of reviews 6. lexicon generation i am interesting on recommendation system based on opinion mining . how about that and please suggest me new areas . my 2 ed q is how to find a real problem ???

Since I don’t work on opinion mining, I’m not aware of the recent topics in this area. You could find some ideas by reading the recent papers in conferences on data mining, AI or recommendation system (e.g. RecSys), or journals. I see that you have done some litterature review already. Then, you should continue reading 😉

thank you prof Philippe Fournier for your guidelines, my second question is how to find a real problem ?

I’m not sure what you mean by “real”. I guess that you mean important problem with real world applications. If this is what you mean, then well, there is different way to find interesting problems to solve. One way is to read papers and see what are the problem solved by other people. Then you may define the problem slightly differently than what they are doing. Or you can use their problem and propose a better solution to their problem. Or if you want to find some ideas of problems that are more applied, you may talk with expert in the industry, etc.

I really have to commend you Philippe for continuing to respond to comments over a year and a half later! This blog post was very helpful. I have already been reading quite a bit of literature and I am running into the problem of having too many interests. I just have to focus on one and go with it. Thanks!

Hi, Thanks. Glad it is helpful.

Hi I wrote a comment but there was no answer 🙂 I write it again. Hi It is about a year that a write a comment here :). On that time I choose opinion mining as my thesis topic. I work hard to fine a new approach in opinion mining. But you know, I was not so successful in this way. I make a new sentiwordnet for a new language from existing wordnet. but I couldn’t suggest a new method. some one told me, that by combing existing method I can introduce new one. but how can i do that ? for example by combing svm and naive bayes how can i create a new method? really I need your help. how can I continue my thesis in a way to find a new idea? thanks

Hi, sorry for not answering you the first time. I have been a little bit busy recently. First, thank you for coming back to this website! Doing research is hard… it is not always easy to find new ideas. That is true. Sometimes, it may takes times to find something interesting. Or sometimes, we may have a new idea but if may fails or provide bad results. This is normal. The more you do research, the easier it will get. Yes, it is possible to combine two methods to get a new method. But it should make sense to combine the two methods. We should not just combine two methods for combining two methods. For example, combining naive bayes and SVM may not make sense depending on what you are doing. Also, combining two methods does not mean that you will get better results. Moreover, if you combine two methods, but the combination is straightforward, then maybe that it is not a significant contribution because it may be too simple.

If you are working on a new language, then you may try to find what challenges are specific to this language. If you can identify some new challenges for your target language than you may find a way to adress these specific challenges and it could be your contribution.

I just talk in general because i don’t work on opinion mining. But don’t worry. If you work hard enough you should find some new ideas.

thanks. But sometimes I become hopeless. I think maybe opinion mining a research area that there I cant continue it because the are so many research about it and is not possible to find a new method.

kindly suggest me the topic for research on data mining so i can start my theses on data mining.

thanks & regards amit kumar

Hello Professor Philippe

I am Nishat Undergraduate Final Year Student. I would like to do my undergraduate thesis on Data Mining. I have read several article on it still I am little bit confused about it. However, I would like to do my thesis on Data Mining specifically on Social Networking site like – facebook or twitter. However, I need your suggestions how to start working on them. It would be really great if you could provide me some suggestions. I am looking forward to hear from you.

Hi, Thanks for commenting on this blog post. My suggestions: – read papers about social network mining to know what other researchers are doing. In your thesis, you need to do something that other people did not do yet or do something better (faster, more accurate) than what they are doing. So you need to know what they are doing. – you will also need to find data. Either you try to collect your own data. Then you should try to work with the API provided b;y twitter etc. to see what you can collect. or you can try to find some public datasets or contact authors of other papers to get their data. This s important because you need data to do your research and dependng on what your data contains you may or may not be able to do some research project related to social network mining. Best,

Dear Professor Philippe

Thank You for your Kind Suggestions.It shows me a way to start work on my thesis.

So to start with, im helping my friend to find good reference in finding the thesis topic. she kind interested in school related topic sir. can you suggest me anything or give me a little hint as milestone maybe, i would really appreciate it. thanks

Then she may like e-learning topics. If she is interested in data mining, she could check “educational data mining” and choose some specific topics in that area.

I am student in computer scince . I would like to do my undergraduate thesis on Data Mining , I want to use wireshark to collect data from intranet (small lan (univercity))and track the movement about ip and protocols and use data mining tools to know types of protocols and IPs and content of massages, I need your suggestions how to start working on them. It would be really great if you could provide me some suggestions. I am looking forward to hear from you.

Thanks for message. I cannot help you too much since i’m not working on this topic. But the most important in a data mining project is always to have data. You may try to collect some data to see the feasability. Besides, what is even most important is to read what other people have done about applying data mining or machine learning techniques to analyse network data. There are some people who have work on this topic before. You need to read at least briefly their paper to see what they have done. This is important because in research, it is expected that you will do something new that other people did not do, or something better than what other people did.

Hi, I have a data-set of 1000 feature. I use svm and naive bayes for classification. I use present-absent and TFIDF for them. but the result is different. how can I find the reason of this difference? I want to know why svm and NB got different result and why using different feature cause different too.

there are 1000 feature and I cant examine them one by one its correlation. is there a method for that?

Different techniques gives different results. Why is a difficult question to answer. You may need to make several experiments with your data to find out why. And as you said, with 1000 features, it may be complicated. But have you tried to use some techniques to reduce the number of dimensions like PCA? Or you could just do some pre-processing to remove some attributes and perform some tests to see the results. Just some ideas.

thanks, but by using PCA only the number of feature decreased, but I cant understand which features have more effect on the performance of classification. can you you guide me which experiment should I do to understand the reason?

Ok. If you have a target attribute X and you want to know which attributes A1, A2… Am is more important with respect to X, then what about just calculating the Pearson colleration between each attribute and X?

yes, but I think calculation is not logical and it is time consuming.

If you want to know if two attributes are corelated, calculating the correlation or covariance are very good ways to get an answer.

You can write a short program that make a loop over all your attributes and calculate the correlation of each of them to the target attribute. Then you just run it and you will see which attributes are more correlated to the target attribute.

This is not time consuming. And why it would not be “logical”?

OK, thanks. I should write a program to calculate it.

Sir, I am doing M.tech( CSE).. I want to do my research on Proactive risk management on banking delivery channels (i.e ATM , net-banking , mobile- banking etc) can i use Data Mining for this?? or plz suggest me sm data mining technique or tool, which i can use to analyze banking data

I’m not much familiar with banking. But data mining can be used on any kind of data. So there should not be any problem.

Maybe classifications algorithms like neural networks, SVM etc. could be a good technique if you want for example to classify the customers as at risk or low risk.

Hello prof Philippe,

I’ll be starting my PhD. Topic which i have selected is “Improving existing data mining algo for big data on mapreduce ” what do you think about this topic? Can you give me any suggestions?

It looks like a good general topic since big data is popular and map reduce is a popular technology. But it is still a little bit too general maybe. What kind of algorithms? What do you want to improve? Maybe you could be more specific. If you want to improve clustering algorihtms, then you could say that in your topic. Or if you want to improve something else, then you could say it.

Hi, I came across your blog while I was searching for articles to refine my area of research which is data mining. The post is very helpful. Since data mining is sort of a new area for me and I am reading on data mining in Manufacturing and Operations Management. My aim is to optimize the production process to keep one of the the raw material (fuel) cost at minimum. I have collected 10 years of daily records and I would be pleased if you could suggest on how I can approach this from your expertise.

I am not familiar with this kind of problem. It seems like an optimization problem. In artificial intelligence, genetic algorithm, ant colony algorithm etc, may be used for optimizations problems, but i’m not sure that it would fit your problem.

Thanks Philippe your blog is very helpful. I did Msc computer sc and I want my PHD Topic to focus on improving data mining techniques for Big data. I am apply for PHD and I dont have a supervisor yet. So far I have been familiarizing myself with several data mining algorithms but because of time can you guide me somehow on data mining techniques whose improvement can be good for big data analysis.

Thanks for your comment on the blog. I cannot recommend much about that because data mining is very broad. With respect to big data, you could improve any kind of algorithms: clustering, pattern mining, classification, stream mining, outlier detection, etc. etc. In other words, most topics in data mining can be combined with big data. So you should choose something that you like. I would just recommend to continue reading and try to focus on a topic that you like.

ok. Thanks.

Hi sir, I came across your blog while I was searching for articles on data mining. This is really a kind contribution.. I have planned to do work on Educational data mining, i will get students data including social and economic attributes and then find their effects on grades, finally suggest some ways of improving grades. I want to know is this enough for an MS thesis or some thing more should be done???? I have also seen some other researchers done same work but mine data set and attributes will be different. Please give me some kind suggestion..

Hi,I am searching about topic for thesis of phd on the other hand, I love datamining with .may you help me how can these fields combine together , many professors said to me that not can define the topic in level of phd about datamining please guide me

It takes time to find a topic. I cannot do it for you. You can read the blog post on top of this page that explain how to do it.

hello sir..really a nice article.. i am doing my masters in computer science and for my thesis i am interested in data mining and specially in web mining….. as i was starting from a scratch this helped me a lot… thank you…..

truly helpful article for beginners …starting from the scratch

I’m an undergraduate.I hope to do my final year research in data mining.I think to do identify hidden purchase pattern of hotels customers through the data mining.sir,can you give some advices to successful my research?

Hi Sir please tell me what is the missing on text mining topics related to Arabic language. I’m really confused about selecting my master topic. I have read about Ontology and summarization topics but until now the idea or the topic title is now clear for me. So, kindly please guide me on my research topic with respect of Arabic language text mining and NLP techniques. Thanks,,,

Hi. Sorry, I cannot find a topic for you.

Your Blog is very good for young researcher. I am working on frequent pattern mining. Can you suggest from where I got quality work related to this topic. Thanking you

Hi, thanks. I would recommend to look at the papers published in top conferences: KDD, PKDD, PAKDD, ICDM, CIKM, ADMA, etc. and also published in top journals: TKDE, TKDD, DMKDD, etc. You may find many papers on Google Scholar. I would say try to look at what the people have been doing recently to find something that you can do.

Sir i want prepare one journal on data mining..its a part of our syllabus..so could u please suggest one topic on data mining..and also the procedure for preparing a journal. Thank you

I don’t know what you want. You can take any topic if you don’t care…. classification, clustering, pattern mining. Whatever you like.

I have to prepare one research paper.I had gone through some research papers related to data mining in health domain. Sir I was wondering if you could possibly suggest one topic on data mining in health domain.

Sorry but I don’t work in the health domain. Moreover, as said in the blog post, finding a good topic takes time.

Thank you sir for your replies.Please continue the same in future also. I am doing ph.d and want to do research in clustering. Kindly guide me.I want to do on medical data.

My area has ben changed now as my Guide is changed. he told me to look for “Big data and web mining”. I have only one month to prepare the synopsis… Should I go in Content web mining or usage web mining. Which one is easier to work with? I want to take social networking sites for this. Will it be fine?

Kindly Guide me.. Regards

Don’t know which one is easier. Web mining is a popular topic, so it should be fine. But to do data mining you need to get some data. For social networks, there a website call SNAP that gives some datasets. https://snap.stanford.edu/data/

I m Farhad and working as a DWH Engg and my skill set is ETL, Oracle SQL,PL/SQL, Teradata and Unix.

so can you please suggest the topic in DWH, I know ETL very well.

current working in eBay for e-commerce project.

No, I cannot suggest any topic. It takes time to find a good research topic. You may follow the step in the blog post.

Hi,I am searching about topic for thesis of phd on the other hand, I love datamining with .may you help me how can these fields combine together ,memory efficiency of frequent subgraph mining algorithms for the case of uncertain data with applications in social network is it correct or not.if it is corrctet how to get the information about the problem tell me suggestion .thanq.

You need to read the papers on topic to know if someone has already done that or not and to know if you like the topic or not. I did not read much on this topic so I cannot tell you. But if you like subgraph mining, then, you can find some problems in this area. To find papers, just search on Google or Google Scholar and read it.

For a MS thesis, the requirements depends on the university. Some university may have lower or higher requirements. The topic looks interesting but you may discuss with your supervisor to know if it is enough. If someone has done it before it is not so original but if you can show something new in it, it would be better.

Thanks sir..

Greetings of the Day!

Was searching for topic for my thesis on Data Mining and came across this site. Very useful indeed. 🙂

I have been able to get transnational data of ATM of a bank which I got with recommendation from my college for the sole thesis purpose only.

Basically, I want my Thesis report could suggest bank’s manager to predict how much Money is necessary to be kept in ATM Vault for a particular day as more money kept is no good.

Now I want your suggestion whether I should stick to only One Algorithm and find the solution Or Should I analyze various Prediction Algorithms and find the best one among them?

As being an Average Joe, I have to research and get into with numerous algorithms and techniques for comparative analysis of algorithms and afraid i miss my thesis deadline as well.

Lastly, if anything else can be done with this transaction data apart from vault cash prediction, please suggest me so that I can think other aspects as well for my thesis.

Looking forward for positive response.

I would suggest to first start with an algorithm to get a first solution. Then, after that you can see if you can improve the work by using different algorithms. But before starting with a first algorithm you still need to read a little bit to choose that algorithm well.

Other topic? Yes certainly. You could for example, try to find the optimal moment for refilling the ATM with more cash. Should we fill it everyday in the morning ? or … ? I think that you may find other variations of this problem.

Thank you for your valuable suggestion.

Hello sir…Thank you for this blog post. I am new in data mining and and i find this field very interesting and want to do my thesis in this but unfortunately i am not getting any support from anywhere.I have learnt about all algorithms in theory and now i am planning to work on missing value imputation but i am not sure about is it a good field to proceed. I am not getting help from anywhere. Any of your suggestion would be of great help to me. Thank you.

My advice: try to look at recent research on this topic. If there are recent research on this topic in good conferences/journals, then it is a good topic. Otherwise, it may be an older topic. But there are certainly some challenges to solve. My final advice: work hard. The topic is important but how hard you work is also important to do good research.

Thank you sir.

i am kasthuri. How will i select a research topic in data mining?

You can read the blog post on top of this page.

i am kasthuri. How will i select a good research topic in data mining?

What about reading the blog post on top of this page?

I wish to my part time time ph.d in data mining. give some ideas about how to choose research topics

Did you read the blog post on top of this page?

Hello Sir , i need your help I am doing master of computer Engineering i want list of topic in data mining for dissertation.Please help me as soon as possible . Thank You Vikas

No. I won’t do that. Searching for a topics takes a time. You need to do it by yourself.

hello sir.. good afternoon… i have some confusion about selecting area of data mining. i like data mining but some people told me that data mining is very common to do research ..so give me some positive response.

Yes, data mining is popular and it is good to work in a popular field. It means that you may eventually find a job in this field and that more people may read your research. It is much better to work on something popular than on something that is not.

thank you sir.. sir give me some current research topic in data mining.. i mean i read many paper but i am very confused to select some topic. give me some proper topic from current research.

It’s better that you choose a topic that you like. But if you really want some topics, I can give you some random topics: fuzzy sequential rules mining, incremental sequential rule mining etc.

Sir,,, i m in last year so i want to project on data mining so plz suggesst me sutaible topic in this area.

I want to do Phd. I cleared written exam for Phd and my interview schedule on 14th of July. In Interview,I have to represent my broad area of research interest.

After go through lots of Research Papers, I decide my broad area of research interest is Mining Web Log Files to improve the performance of website. Sir I want to use existing technique and make some modification in it and obtain better results.

But Sir, I am really confuse in how to justify my research methodology in interview. What should i say when they ask question like “what kind of techniques you want to use?” Because I have no Idea. Please Sir Help. Reply ASAP.

Congratulations for your interview. I think you need to read a few paper on weblog mining to find what are the main techniques. It is better if you can talk about a few techniques even if you just know the basic idea. For example, one technique that may be used is sequential pattern mining (discovering sequences frequently appearing in a set of sequences). It could be used to find what occurs often in the weblog to understand the behavior. Another technique is clustering if you want to find similar web users. Or if you want to predict what will be clicked next, you may use something like our CPT+ model: http://www.philippe-fournier-viger.com/PAKDD2015_sequence_prediction.pdf Those are just some example. There are many techniques that could be applied on weblog data. Actually choosing a technique depends on WHAT you want to do (what is your goal). Saying that your interest is “mining log files” does not mean much. What is your goal? Do you want to find patterns? Do you want to cluster the users? Do you want to predict what people will click on next? … etc. etc. I think that you need to define more clearly what is your goal. It may be more important than talking about the techniques.

Hello to everyone , sir I want to do mtech thesis in data mining . sir can u suggest some topics for thesis / project

Superb work sir really appreciating while reading .

Sir, now i am final year MCA..i can choose my project in Research area..But i cant no idea about that..But,still i have learned data mining i like to doing in my project also data mining technique in Clustering also..So,If i want to one Topic for my project..Pls,Say sir….

You can choose any recent paper published about clustering in a good conference and journal and improve their work.

Hello sir , I read all your suggestions about research topics i am an m.tech student i have studies grid clustering in minor thesis now i have to work on major thesis can u kindly suggest related topic plz plz plz i want to discuss it with you how can i discuss. i will be very thankfull.

Hi, I don’t work on grid clustering so I don’t know much about which topics are good related to grid clustering. Moreover, it takes times to find a topic. I cannot suggest topics.

Respected Prof.Phillippe,

I really appreciated your suggestion, you are guiding all of the needy people you did a great work sir. I also need your help in my research i will be very thankful. I have some topic in my mind but want to discuss for proceeding further.

Thank you so much for replying sir i just want suggestion about any open source tool of clustering which can perform grid clustering also, if you can help only any tool name i will work on it myself. i will be very thankful.

I don’t know about open-source tool for grid clustering.

But in my SPMF library, there are a few clustering algorithms : K-Means, DBScan, … Perhaps that some may be useful

thank you sir i have studied comparison of some algorithms ,what can i further do in clustering or few of its algorithms .Is there any other option in clustering for my research.

There is a lot of thing that one can do in clustering: make faster algorithm, make better clustering algorithm, apply clustering algorithm in new ways, combine clustering with some other techniques, etc. As I said in the blog post, to find a good topic, one need to read several papers, and then you may get some ideas about what other people have been doing recently.

Thank u for your tips to start our Phd. Sir can suggest some topics related to data mining in biological data .

In the blog post on top of this page, I explain how to find a topic. I cannot do it for you.

Ok sir thank you

Hello sir, I am studying M.sc 2yr,i have one research paper(project) for this sem sir…i don’t know that which area i select but i like to do in data mining..i know only little bit of knowledge in data mining sir…could u help me sir for which topic that iwill select in data mining..

The blog post on top of this page explains how to choose a topic.

Sir I want to start my thesis.. i want to work on data Mining specificly on clustering can u suggest me where to start or reach to find best problem?

Look at recent papers published in top data mining conferences and papers published in top data mining journals.

Sir, I am working in a telecom company for the last 10+ years and mainly in the IT wing. Now I wish to do a Phd in large data analysis for which I am having the required data. I am not having a correct idea regarding the way I have to proceed. Can you guide me in this regard. Thanking you

Your research supervisor should be able to help you.

HI. I want to do a M.Sc. in data mining security . But it is difficult to choose a topic. There are too many data mining topics. Is it a good idea?

Yes, it is a good area. Too many topics is good, it means that you can choose. You just need one topic.

hey Philippe,

i wanted to know whether it is necessary to have a good knowledge in statistics and maths to pursue research work in data mining? am interested in data mining but i don’t have good hold on stats and maths.. could you please suggest me?

Hi, It certainly helps. But it is not a requirement. You can choose a topic that is more algorithmic oriented for example and where there is less math and statistics. For example, if you work on designing algorithms for “clustering” or “pattern mining”, you can do something with not much math.

Thank you…that helped a lot

Hey Philippe, i wanted to know whether it is possible to combine classification and regression as hybrid model if i want to have to enhance classification prediction or regression models ,could you please suggest me some knowledge needed and tools .

Hey Philippe, i wanted to know whether it is possible to combine classification and regression as hybrid model if i want to enhance classification or regression prediction models ,could you please suggest me some knowledge needed and tools .

Hi, It is certainly possible. Actually, regression can be used to performed classification. For example, you may want to guess what is the salary of some employee and you have the salary of other employees from the same area. You may do some regression to get that information, and it could be seen as classification. This is just a simple example, but there are certainly more complex ways. Since I don’t do research on that topic, I cannot say too much about that. You would need to search a little bit and read recent papers to know more about what has been done recently.

I’m doing phd in big data mining. I wan to work on any real time scenario for research. Can you suggest me specific dataset/problem for it?

This is very broad. You could do for example stream mining to detect security attacks by analyzing network traffic. I think that there are such datasets available about network trafic. Besides, I think that whatever the topic that you choose, something important is to find some datasets whether from some companies, make your own datasets or download some public datasets.

hello sir, can u suggest any topic for research even other then data mining i needed it for my final year thesis…im really confused since last few days unable to find any topic..

If you don’t care about the topic, you can choose a data mining topic such as fuzzy sequential rule mining. This topic has probably not been done.

thnx a lot sir….. 🙂

I’m Selva from India,I’m interested in doing my Ph.D work in Natural Disaster Management using spatial data mining.Since the natural disaster management is a vast area I’m struggling to drill down into the exact area and also I’m worried about getting the proper data-sets on this area. Could you please suggest your ideas on this.

Thanks, Selva

Hi, I’m not familiar with this area. Maybe you should try to talk with some special about natural disaster. If there is some at your university, you may try to contact them and perhaps that they can provide some data. Also, maybe look at some government websites. Some places like Japan or Taiwan have many earquakes. I think you should be able to get data from these governement websites about the location and time of each earthquakes if you search carefully for example.

Thanks for the suggestion.

Regards, Selva

Dear Sir Thanks a lot for your such helps. A lot of students are facing these types of problems and you are helping in a very effective way. We are grateful to you. Could you tell me which are the latest research areas of data mining? In which conferences or journals I can find what people have been doing recently on data mining so that I can choose an area or topic on data mining for my PhD program?

I will be grateful if you help me in this regard.

Thanks………

Hi You are welcome. You may look at the data mining conferences : KDD, PAKDD, ICDM, PKDD, ICDE, CIKM, DAWAK, DASFAA, DEXA, ADMA, etc. also the data mining journals: TKDE, DMKD, TKDD, KAIS, etc.

There is a lot of possible topics. Some current trends are big data, social networks, etc. But you can also choose something else.

Thank you again sir…………

Sir..i want to do some work in data mining for my phd…sir my programming skill is weak .sir plz suggest me topic to research purpose which has less programming

If you are doing a PhD in computer science, you will certainly need to do some programming and need to improve your programming skills if they are not so good. Data mining in general requires to be good at programming especially if you want to design some algorithms, because you will want to make algorithms that are fast, since data mining algorithms are generally applied on large amount of data. If you are not good at programming, perhaps that you should choose a topic that invovle less programming such as research on e-learning, or you could still do data mining but more toward the applications of data mining rather than working on algorithms. For example, you could work on applying data mining to biomedical data, biology, e-learning etc. If you are good at math, another option is to take more of a math approach and use software such as Mathlab, etc.

Thanks a lot sir

Sir which language is used in data mining algorithm…can i learn this language at home?if i want to learn language for data mining ..which language i should learn..which book prefer to leraning that language…

Dear Sir I studied different papers from difference conferences and journals given by you. Thanks a lot for your suggestions. Actually I have very limited knowledge on data mining but I am interested too much to do my research in this area. I am ready to study a lot. But I have to prepare a PhD proposal within very short time. Now I guess I can work on “Spammer Detection Methods/mechanisms/techniques in social media systems or something related this”. But I can not be enough confident what should/might be the proper topic. Could you please help me in proper direction for choosing a topic in this regard.

Sir which language is used in data mining algorithm…can i learn this language at home?if i want to learn language for data mining ..which language i should learn..which book prefer to leraning that language…

I need PhD spicific topic in healthcare data mining, please

Hello sir, I am studying M.s.c and decision to do my research in data mining direction particular in revenue accounting fraud statement detection please sir i want to determine the algorithm that achieve my word correctly and display acceptance result thanks

Dear sir, I want to do some work for my phd in data mining especially sequential pattern mining on Big Data but i could not find any new specific problem in this area. would you please help me and suggest your idea to find a specific problem on this ?

Thanks you.

Hello, there are a lot of possibilities. You can combine any two topics to obtain a new topic. For example, I did not see any algorithms for sequential rule mining in big data. Designing a sequential rule mining algorithm running on big data framework such as Hadoop or Spark is a good topic. Besides, that there are many other possibilities. For example, you could combine : incremental mining + sequential pattern mining + big data, or any other combinations of topics.

Thanks a lot Sir.

It helps me a lot.

i interested in work on data mining . Also i have many years experience in fields of education. please introduce some topics about data mining in education. thank you.

You may read papers from the Educational Data Mining conference (EDM), or related conferences such as Artificial Intelligence in Education (AIED), Intelligent Tutoring Systems (ITS), and others to see what are the current problem related to data mining and education.

Sir, I want to do research in Parallelisation of Data Mining Algorithms. I am also good in Optimization techniques like Genetic algorithms. Please suggest me topic related to this. Thanks in advance…

I suggest to read recent papers in data mining conferences/journals to find a good topic. It takes time to find a good topic.

Actually I want to work on Distributed framework or shared frame work of Data mining algorithms like clustering and classification algorithms either on Hadoop Mapreduce or using OpenMP/MPI, but which application I choose to apply data mining clustering or classification algorithm, I am little bit confused. I do not want to go towards Semantic web mining … Please suggest…..

Data mining can be applied in almost any domains: bioinformatics, medecine, psychology, education, etc. In my opinion, you should choose a domain (1) that you like, and (2) where you can easily collect data to be used by your data mining algorithms.

Sir , I want to work on agricultural data.please suggest current topic. am are work “study of agricultural land soil using classification techniques” in M.Phil. program. I am look a P.Hd Topic in data mining .

You need to find a topic by yourself. I cannot help you.

Sir, I want to do P.hd in data mining.Please suggest me title for my work

Algorithms for sequential rule mining in data streams

Hi Sir , would you please suggest me a problem in high utility sequential pattern mining ?

Thanks alot

You can combine high utility seq. pattern mining with any other topic such as fuzzy pattern mining, incremental pattern mining, stream mining, etc. You may read other papers and try to combine two ideas to get a problem.

would you please suggest me a topics for thesis in information technology major in business analytics.

thanks a lot.

I don’t really have time to find topics for other people than my own students. Sorry. You should read papers in recent conferences and journals and choose a topic that you like and try do to better or do something that other people did not do.

Hello sir, I have bit knowledge in Data Mining techniques. If i apply DM techniqes and do some analysis on any real time problem, does it consider for PhD. because i am not doing anything new,just applying DM techniques and getting some reslut. Please help me in this regard

It can be. The goal of a Ph.D. is to contribute to the advancement of knowledge in some field. You may either work on more fundamental problems or working on some more applied problems. For example, one may design a new data mining algorithm (a more fundamental problem), but one may also use existing data mining techniques do something new or better in some fields (for example, use existing algorithms in a new way to identify the authors of texts, or to discover communities in social networks). What is important is that a PhD need bring something novel. So if you work on an applied problem, you still need to bring some novelty but at the application level. Personally, I prefer topics at a fundamental level (design of algorithms) but there many people who work on a more applied level (for example, you may check any conference on e-learning, there is a lot of applied research).

Hi how are you?i hope u are doing well actually im really interested in data mining topics such as clustring ,data mining in big data ive read many articles but the problem is i could’t find something interesting what sub-topics in “data mining in big dat”a that can i work on ?

could you help me with

I cannot find a topic for you. You may ask help from your supervisor. He should be able to help you. Otherwise, you may look at recen data mining conferences to look for some topics. “data mining” and “big data” is very broad. It can mean basically anything in data mining.

im afraid that i would spend more time looking for topic,and after that ill find that the topic is already solved.

i wan work on something likes this in general :processing big data and finding the relations and interesting pattern is difficult ,So ,what kind of challenges theta we maybe face when processing big date and how can we provide efficient data mining techniques to overcomes the issues? would be a good PhD topic? or i have to look to something different? thank in advance.

Before doing any research project, one should read enough papers about the topic to know what already exist, and make sure that the problem has not been solved. If you want to become a researcher, this is something that you need to learn to do. Even if it takes a lot of time, you still need to do it, and it is important that you do it.

Ok, so you want to find patterns or relationships in big data… But that is still not a topic because it is too general. Finding patterns in big data could mean almost any data mining algorithms applied to big data. So you still did not define a topic. To define a topic, you would need to 1) define what kind of patterns you want to find: Clusters, outliers, frequent patterns, subgraphs, communities, etc., 2) and define in what kind of data: graphs, transaction databases, multimedia data, spatial data, data streams, etc. and 3) perhaps also what kind of approach you want to use to find these patterns.

So I cannot say whether it is a good topic because your topic is still too general. Finding a good topic takes time. There are an infinite amount of “good topics” that one could find. But as I said before, I cannot do the litterature review for you. You need to do it by yourself and evaluate by yourself if it is a good topic. Even in data mining, I’m not familiar with all the topics, and I will not read the papers for you to tell you if it is a good topic or not, unless your ask me about something that is directly related to what i’m doing.

that’s really helpful .thank you very much.

Please suggest me application of confabulation association rule mining for multidimensional association rule generation.

I did not read about “confabulation association rules” so I cannot say much about it. You may ask the authors of that paper.

hi Philippe when i am reading your answer to the comments , now i am sure about the topic must be specific and not general .

what i want is i need to do classification on cloud data can you help in this way

preparing a paper of applying classification techniques on cloud data

thanks a lot

Good that you know more about how to look for a topic. But I cannot help further than that. I am very busy and I need to take care of my own research.

i am very much interest to purse my PhD degree in Data Mining field. i need your guild lines to select my PhD topic in opinion mining and sentiment analysis. please share some recent research areas in this field.

I am very interested to pursue research in Data Mining in Healthcare Science Applications, Please suggest me some recent popular topics where I can explore to start my research.

i dont work on this topic. You may look at recent research papers.

Hello Sir, I am a computer science student, entering into research for the first time. I have been searching for topics in data mining. I wanted to ask what are the topics related to stocks that I can research on or write a thesis on. There is a lot of research going in this field. I m really confused on which direction to go- something less explored and with a lot of scope of research. It will be great if you could suggest an approach on this topic.

P.S. If you have any suggestion on a ‘popular topic’ -as you suggested, that would make my way easier to some conferences, would be of great help.

It would be hard to suggest topics about stocks since I don’t work on that. But some typical problems that have previously seen are to predict the stock market, detect fraud on the stock market, find correlations or patterns indicating that some stocks are related and behave the same way on the stock market…. I think you could find more ideas by searching a little bit on Google Scholar

Best regards

Thanks for your helpful suggestion.

Do you know anybody who is currently working on this topic who i can ask questions from? I wish to get more insight on this.

No. I don’t personally know anybody working on that. But if you find some papers about stock markets on Google Scholar, you can always send e-mail to the authors to ask them questions or ask for their dataset. Sometimes they will give you some advice or maybe even their datasets.

Thank You once again 🙂

Hi Philippe, Iiam looking forward my PhD in DataMining. Iam interested in Social Newtwork Mining. How and where can we apply datamining algorithms ( clustering, classification algorithms, etc.) on Social Network Analysis. And also how can we apply Neural Networks on datamining applications.

Best regards.

Hi, Wish you good luck for you Ph.D. This is some very broad questions. For applications of data mining on social networks, you could have a look at the papers published at the ASONAM conference ( international conference on Advances in Social Network Analysis and Mining ) which is about data mining and social networks. You will see that there are many topics. It would be too long to list all of them here. You could also check journals related to that topic and papers on Google Scholar.

Neural networks also have hundreds of applications. Basically, you could see neural networks as a data mining technique. So the applications of neural networks in data mining, would be all the applications of neural networks, and there are a lot.

Thanks alot Philippe for your valuable suggestion.

i want good thesis topic in data mining for ph.d

then you may read the blog post on that page which explain how to find a topic

sir am doing m.phil, my guide suggest to learn scikit website. pls suggest some topic regarding this.

Scikit is just a tool that you may use in your research. It can be helpful. But you should perhaps find a topic first instead of looking at scikit to find a topic. That is my opinion

Thank you sir.I decided to do in medical field. Is it correct decision ? and now is it current trend? I am just confused sir. Please suggest me some of the field which are in current trend.

I don’t work in the medical field. I work in the field of data mining. The medical field is a possible application of data mining. If you can get some real medical data and know some people in the medical field that can guide you in your project, then why not choosing that field. I guess it could be ok. But even if you choose a field, you still need to find a specific topic. The “medical field” is still very broad and could lead to an infinite amount of topics. I suggest to read papers in recent conferences and journals related to your interest to see what people are working on.

Ok sir. Data mining is my domain sir, in that i decided to do healthcare or big data application. Please tell me which is sufficient to collect data. Also please suggest me some of the other application which are more effective.

“big data application” or “healthcare” is still very broad. You need to read some recent papers and see what other researchers are doing to find a good topic. I cannot do that for you. It can take actually quite a lot of time to find a good topic. But you can always ask your supervisor to help you about that.

sir , this blog is really useful. I am planning to do datamining in the feild of nano technology . any ideas or suggestions of topics related to this .plz suggest.

Glad you like the blog.

I don’t work on nanotechnology.

Hi. Right now I’m planning on continue my research study on malware analysis. I’m thinking of using data mining approach in my research. However, since i’m doing in PhD level, my supervisor do not want me just applying the data mining technique. He always asked me about the weakness/limitations I’ve found in data mining. However, as far as i’m concern, there is none limitations on data mining. So, may I asked if you or any visitors in this blog have any idea about the data mining weaknesses/limitations in malware analysis that I have overlooked?

Thanks again.

I understand what you mean. At first, it may seems that a technique has no limitations. But there is always some. What you could do is to choose a technique from the literature, try it, and after you tried it, you will certainly think about some way to improve it. For example, if you try some classification technique to classify malwares, then what about considering also the time dimension? what about doing real-time classification? what about developing an approach where your algorithm can say how many percent certain he is that a program is a malware? etc. There is generally always some way to extend a technique for example by considering more information such as time etc. Besides, another possibility is to combine characteristics from different approaches that you like. By reading a few papers, you may try to see the different approach for classifying malwares and then try to combine the best characteristics of all these approaches. This is just some ideas.

Thanks for your quick reply. But I have questions about combining a characteristic from different approaches like you said. I had confused with the meaning of characteristic? is it characteristic of the malware or the technique in classification it use (eg c4.5, dt etc) ? and by mention different approaches, did you mean by combining statistic and machine learning? I’m so sorry for asking but I’m really stress right now. I’m glad you’re replying me.

I mean, it could be different characteristics of the data mining approach. For example, maybe there is an algorithm A for classification, and another algorithm B for classification that consider time, and another algorithm C for classification that let you add constraints when doing the classification. If you think that your approach need classification + time + constraint, you could try to combine the algorithms A + B + C in a single new algorithm. This is just some general ideas. In general, the more information you consider such as time, the more complicate the problem become, and then you need to extend the original algorithms to consider this additional information. I just tell you this as some general idea. You could see how that could apply to your problem by reading some papers and comparing the different data mining approaches to then try to take the best of each approach if possible. Or try to add something new that other people did not do.

Thank you so much for replying. I’m feeling great I have stumble upon your website today. Thanks again. Your website is awesome. May God bless you & your family.

You are welcome. Good luck. By the way, you may also check my data mining forum:

http://forum.ai-directory.com/list.php?5

It is a place for discussing data mining.

Dear sir, presently i am teaching the pg and ug students for the c omputer science , and i had choosen to work for my PH.D. from different university privately. This is an request kindly suggest the topics which is convenient in teaching and working both related to my ph.d. work.

Finding a topic takes time, so I will not do that for you. You can read the blog post at the top of this page which explains how to search for a topic.

I like your collection, thanks for sharing this wonderful collection of themes with us.i am working in Cloud Erp Software Companies In Chennai

Hi Sir, I Rasheeduddin registered Ph.D In Data Mining Clustering My Title is

“Improving level of efficiency through K Means Algorithm in Social Networking Data Base”.

Actually i want to implement the K Means Algorithm in Social Networking Data Base.

Please Suggest me any changes required to this Title and what type of Back Ground work is required to start. please guide me/ suggest me

Sir, I have Qualified in OU Ph.D Entrance test. I want to do Ph.D on data mining. so please tell me the topic of research on data mining or any other area.

Thank you sir

Could you please suggest me where I can get more information and where I can get the recent works on opinion mining?

Hi, I would recommend to use Google Scholar to search for papers. There is a features that let you search by year. You can search for papers from 2012- 2016 for example using Google Scholar. Otherwise, you may also check the journals and conference on data mining or similar research areas. But, Google Scholar is a very good place for searching for articles.

Thanks……..Thanks a lot you again.

Can you please tell me also some journals and conferences on pattern recognition???

I don’t work on pattern recognition so I cannot say too much about that. But you may check some pages like this one which provides some kind of rankings of conferences/journals:

http://www.scimagojr.com/journalrank.php?category=1707

Thanks again. Really I am grateful to you…………

my area of interest is bank data mining can you please suggest some topic on it ?

I don’t work on bank data, so it is hard for me to suggest something. But a typical topic for bank data is to evaluate the credit record of customer to detect whether they will pay back their debt or not for example. There exists some papers on that already. You may find using Google Scholar.

hi could you suggest some topic for ” Data mining for customer relationship management” please

Sir, I have Qualified in Ph.D Entrance test. I want to do Ph.D on data mining. I am interested to do phd in revenue management/system by using data mining technique . can u guide me this interest is good or bad for the project work

The blog post above gives you some guidance. Have you read it?

I want to do Mtech Research in data mining. please suggest me a topic in data mining which is somehow related to networking.

I suggest to read the blog post on top of this page that explains how to find a topic. 🙂

need opinion, target of my topic is “user identification over social network”. i just want to apply changes through these techniques “clustering and outliers”. sir kindly tell what is the scope of topic? if its fine then please generate impressive topic name for me.

I don’t know what you want me to tell you about the “scope of this topic”.

But if you choose this topic, the topic name could be “Novel clustering and outlier detection approaches to user identification in social networks”.

Thanx , Philippe Founier-Viger

SIR what are the current problems in identification of user in social networks, which problems should i target?

I want to get example title for my thesis in computer science.I am interested in data mining.Please sir.

If you want some example of titles, you may look at Google Scholar. There are a lot of examples. Or you may look at data mining journals and conferences. There are a lot of examples.

Which method I can used for passport data analysis? Please guided me the latest or pooular method for that.

I never worked on passport analysis. It depends what you want to do. Analyzing a passport to do what? If you want to analyze the picture, then you could use some image processing techniques. But it really depends what you want todo. The best would be that you search what other people have been doing on this topic recently in Google Scholar for example. As I said, I don’t work on this topic, so i cannot tell you the method that people have been using.

Hello sir I want to discover the travel pattern from passport data analysis.

I want to discover the travel pattern from passport data analysis.So which method I can used sir?

Many methods could be applied: – Find people with similar travel patterns –> some clustering – Find people with abnormal travel patterns –> outlier detection – Find some frequent travel patterns –> pattern mining – Classify the travellers based on their travel patterns –> classification

This is just some basic idea. Those area some of the most popular areas in data mining. Depending on how your data looks like etc, you may choose different techniques.

Yes thank you sir.

Please, guidence for the new method(update method) for this.My reference paper used like k-means, apriori algorithm but this methods are olds.So my supervisor told me to used new method.I want to apply the update method for this topics.

To apply some new method, you first need to know what the researchers have already done before you. So as I said previously, what you need to do is to read some research papers about discovering travel patterns. Then, you can understand what other people have done and do something new or something different. There is no way to avoid that step. If you ask me to recommend you something new, I cannot really tell you because I did not read the papers on discovering travel patterns, and I don’t know what people have done already. This, you need to do it by yourself.

Pingback: How to publish in top conferences/journals? (Part 2) – The opportunity cost of research - The Data Mining BlogThe Data Mining Blog

Dear professor, i have interest association rule mining (frequent, periodic, utility, and closed patterns mining). could you suggest me the mathematical and statistical portion for study to design new algorithm on the base of exiting algorithm like (Apriori, Eclat, and fp-Growth).

i will be thankful for this help,

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Search for:
• Academia (82)
• artificial intelligence (34)
• Big data (80)
• Bioinformatics (3)
• Chinese posts (1)
• Conference (70)
• Data Mining (180)
• Data science (100)
• Database (1)
• General (42)
• Industry (2)
• Interview (1)
• Machine Learning (20)
• Mathematics (2)
• open-source (37)
• Pattern Mining (82)
• Plagiarism (1)
• Programming (17)
• Research (109)
• Time series (3)
• Uncategorized (22)
• Utility Mining (22)
• Website (3)

Recent Posts

• Sneak peak at the new user interface of SPMF (part 3)
• ChatGPT, LLMs and homework
• When ChatGPT is used to write papers…
• Sneak peak at the new user interface of SPMF (part 2)
• Sneak peak at the new user interface of SPMF (part 1)
• UDML 2024 Accepted papers
• SPMF 2.60 is coming soon!
• The importance of using standard terminology in research papers
• UDML 2024 @ PAKDD 2024 (deadline extended)
• Your social network on DBLP as a graph

Recent Comments

• Dr J Gangadhar Naik on How to improve the quality of your research papers?
• Philippe Fournier-Viger on About the author
• K. P. Birla on About the author
• Himanshi on Discovering hidden patterns in texts using SPMF

• artificial intelligence
• association rule
• data mining
• data science
• high utility itemset mining
• itemset mining
• machine learning
• open-source
• open source
• pattern mining
• periodic pattern
• sequential pattern
• utility mining

Number of visitors:

data mining Recently Published Documents

Total documents.

• Latest Documents
• Most Cited Documents
• Contributed Authors
• Related Sources
• Related Keywords

Distance Based Pattern Driven Mining for Outlier Detection in High Dimensional Big Dataset

Detection of outliers or anomalies is one of the vital issues in pattern-driven data mining. Outlier detection detects the inconsistent behavior of individual objects. It is an important sector in the data mining field with several different applications such as detecting credit card fraud, hacking discovery and discovering criminal activities. It is necessary to develop tools used to uncover the critical information established in the extensive data. This paper investigated a novel method for detecting cluster outliers in a multidimensional dataset, capable of identifying the clusters and outliers for datasets containing noise. The proposed method can detect the groups and outliers left by the clustering process, like instant irregular sets of clusters (C) and outliers (O), to boost the results. The results obtained after applying the algorithm to the dataset improved in terms of several parameters. For the comparative analysis, the accurate average value and the recall value parameters are computed. The accurate average value is 74.05% of the existing COID algorithm, and our proposed algorithm has 77.21%. The average recall value is 81.19% and 89.51% of the existing and proposed algorithm, which shows that the proposed work efficiency is better than the existing COID algorithm.

Implementation of Data Mining Technology in Bonded Warehouse Inbound and Outbound Goods Trade

For the taxed goods, the actual freight is generally determined by multiplying the allocated freight for each KG and actual outgoing weight based on the outgoing order number on the outgoing bill. Considering the conventional logistics is insufficient to cope with the rapid response of e-commerce orders to logistics requirements, this work discussed the implementation of data mining technology in bonded warehouse inbound and outbound goods trade. Specifically, a bonded warehouse decision-making system with data warehouse, conceptual model, online analytical processing system, human-computer interaction module and WEB data sharing platform was developed. The statistical query module can be used to perform statistics and queries on warehousing operations. After the optimization of the whole warehousing business process, it only takes 19.1 hours to get the actual freight, which is nearly one third less than the time before optimization. This study could create a better environment for the development of China's processing trade.

Multi-objective economic load dispatch method based on data mining technology for large coal-fired power plants

User activity classification and domain-wise ranking through social interactions.

Twitter has gained a significant prevalence among the users across the numerous domains, in the majority of the countries, and among different age groups. It servers a real-time micro-blogging service for communication and opinion sharing. Twitter is sharing its data for research and study purposes by exposing open APIs that make it the most suitable source of data for social media analytics. Applying data mining and machine learning techniques on tweets is gaining more and more interest. The most prominent enigma in social media analytics is to automatically identify and rank influencers. This research is aimed to detect the user's topics of interest in social media and rank them based on specific topics, domains, etc. Few hybrid parameters are also distinguished in this research based on the post's content, post’s metadata, user’s profile, and user's network feature to capture different aspects of being influential and used in the ranking algorithm. Results concluded that the proposed approach is well effective in both the classification and ranking of individuals in a cluster.

A data mining analysis of COVID-19 cases in states of United States of America

Epidemic diseases can be extremely dangerous with its hazarding influences. They may have negative effects on economies, businesses, environment, humans, and workforce. In this paper, some of the factors that are interrelated with COVID-19 pandemic have been examined using data mining methodologies and approaches. As a result of the analysis some rules and insights have been discovered and performances of the data mining algorithms have been evaluated. According to the analysis results, JRip algorithmic technique had the most correct classification rate and the lowest root mean squared error (RMSE). Considering classification rate and RMSE measure, JRip can be considered as an effective method in understanding factors that are related with corona virus caused deaths.

Exploring distributed energy generation for sustainable development: A data mining approach

A comprehensive guideline for bengali sentiment annotation.

Sentiment Analysis (SA) is a Natural Language Processing (NLP) and an Information Extraction (IE) task that primarily aims to obtain the writer’s feelings expressed in positive or negative by analyzing a large number of documents. SA is also widely studied in the fields of data mining, web mining, text mining, and information retrieval. The fundamental task in sentiment analysis is to classify the polarity of a given content as Positive, Negative, or Neutral . Although extensive research has been conducted in this area of computational linguistics, most of the research work has been carried out in the context of English language. However, Bengali sentiment expression has varying degree of sentiment labels, which can be plausibly distinct from English language. Therefore, sentiment assessment of Bengali language is undeniably important to be developed and executed properly. In sentiment analysis, the prediction potential of an automatic modeling is completely dependent on the quality of dataset annotation. Bengali sentiment annotation is a challenging task due to diversified structures (syntax) of the language and its different degrees of innate sentiments (i.e., weakly and strongly positive/negative sentiments). Thus, in this article, we propose a novel and precise guideline for the researchers, linguistic experts, and referees to annotate Bengali sentences immaculately with a view to building effective datasets for automatic sentiment prediction efficiently.

Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques

Studying information diffusion in SNS (Social Networks Service) has remarkable significance in both academia and industry. Theoretically, it boosts the development of other subjects such as statistics, sociology, and data mining. Practically, diffusion modeling provides fundamental support for many downstream applications (e.g., public opinion monitoring, rumor source identification, and viral marketing). Tremendous efforts have been devoted to this area to understand and quantify information diffusion dynamics. This survey investigates and summarizes the emerging distinguished works in diffusion modeling. We first put forward a unified information diffusion concept in terms of three components: information, user decision, and social vectors, followed by a detailed introduction of the methodologies for diffusion modeling. And then, a new taxonomy adopting hybrid philosophy (i.e., granularity and techniques) is proposed, and we made a series of comparative studies on elementary diffusion models under our taxonomy from the aspects of assumptions, methods, and pros and cons. We further summarized representative diffusion modeling in special scenarios and significant downstream tasks based on these elementary models. Finally, open issues in this field following the methodology of diffusion modeling are discussed.

The Influence of E-book Teaching on the Motivation and Effectiveness of Learning Law by Using Data Mining Analysis

This paper studies the motivation of learning law, compares the teaching effectiveness of two different teaching methods, e-book teaching and traditional teaching, and analyses the influence of e-book teaching on the effectiveness of law by using big data analysis. From the perspective of law student psychology, e-book teaching can attract students' attention, stimulate students' interest in learning, deepen knowledge impression while learning, expand knowledge, and ultimately improve the performance of practical assessment. With a small sample size, there may be some deficiencies in the research results' representativeness. To stimulate the learning motivation of law as well as some other theoretical disciplines in colleges and universities has particular referential significance and provides ideas for the reform of teaching mode at colleges and universities. This paper uses a decision tree algorithm in data mining for the analysis and finds out the influencing factors of law students' learning motivation and effectiveness in the learning process from students' perspective.

Intelligent Data Mining based Method for Efficient English Teaching and Cultural Analysis

The emergence of online education helps improving the traditional English teaching quality greatly. However, it only moves the teaching process from offline to online, which does not really change the essence of traditional English teaching. In this work, we mainly study an intelligent English teaching method to further improve the quality of English teaching. Specifically, the random forest is firstly used to analyze and excavate the grammatical and syntactic features of the English text. Then, the decision tree based method is proposed to make a prediction about the English text in terms of its grammar or syntax issues. The evaluation results indicate that the proposed method can effectively improve the accuracy of English grammar or syntax recognition.

Export Citation Format

Share document.

Master Thesis CSE

You are here, data mining, help us understand climate change all the way into space, analysis of gender bias in swedish texts, knowledge mining from scientific articles and reports, filling data gaps of sustainability related properties based on molecular descriptors and advanced data mining methods, data synopses for continuous ultra efficient parallel/distributed data mining, real-time monitoring of automation processes with applications to cyber security.

• Our Promise
• Our Achievements
• Our Mission
• Proposal Writing
• System Development
• Paper Writing
• Paper Publish
• Synopsis Writing
• Thesis Writing
• Assignments
• Survey Paper
• Conference Paper
• Journal Paper
• Empirical Paper
• Journal Support
• MPhil Research Topics

Investigate a broad range of topics that are difficult as well as related to latest technological innovations for an MPhil research project based on computer science concentrating on algorithms. Selecting a catchy topic is really hard where scholars lack in some areas it can be fulfilled only by experts. Reasonable assistance for topic selection will be offered by referring from leading journals you can get your MPhil degree without any delay.

 The following are the various method-related research regions that are appropriate for an MPhil thesis in which we support

• Machine Learning Techniques:
• Building Efficient Deep Learning Techniques for Image and Speech Recognition.
• Optimization Methods in Neural Network Training.
• Genetic Algorithms for Solving Complicated Optimization Issues.
• Reinforcement Learning Techniques for Automated Frameworks.
• Techniques for Unsupervised Learning and Clustering
• Techniques in Bioinformatics:
• Techniques for Genome Sequencing and Analysis
• Machine Learning Methods to Personalized Medicine.
• Comparative Genomic Algorithms for Detecting Evolutionary Trends.
• Techniques for Big Data Analysis in Genomics.
• Protein Structure Forecasting utilizing Machine Learning Methods.
• Graph Algorithms:
• Robust Algorithms for Extensive Graph Analysis.
• Network Flow Algorithms in Transportation and Logistics.
• Techniques for Social Network Analysis.
• Graph-based Methods for Recommender Frameworks.
• Dynamic Graph Approaches for Actual-Time Applications
• Quantum Methods:
• Quantum Method Creation for Cryptography.
• Quantum Search Techniques and Their Applications.
• Quantum Methods for Simulation of Quantum Systems.
• Techniques for Quantum Error Correction and Fault Tolerance.
• Quantum Machine Learning Approaches.
• Cryptography and Security Techniques :
• Innovative Encryption Techniques for Secure Interaction.
• Methods for Blockchain and Cryptocurrency Technologies.
• Homomorphic Encryption Algorithms for Privacy-Preserving Computation.
• Intrusion Identification Techniques in Cybersecurity.
• Secure Multi-party Computation Methods.
• Computational Geometry Techniques:
• Techniques for 3D Modeling and Computer Graphics.
• Geometric Methods in Robotics and Path Planning.
• Approaches for Computational Topology and Shape Analysis.
• Voronoi Diagrams and Delaunay Triangulation Applications.
• Collision Identification Methods in Virtual Reality Systems.
• Distributed Techniques:
• Methods for Distributed Computing Systems.
• Consensus Techniques in Distributed Networks.
• Scalability and Fault-Tolerance in Distributed Methods.
• Peer-to-Peer Network Approaches.
• Distributed Methods for Big Data Processing.
• Theoretical Computer Science Methods:
• Complexity Analysis of Methods.
• Approximation Techniques for NP-Hard Issues.
• Randomized Approaches and Probabilistic Techniques.
• Algorithmic Lower Bounds.
• Combinatorial Methods and their Applications.
• Data Mining and Analytics Techniques:
• Techniques for Effective Data Mining in Large Databases.
• Time Series Analysis Methods for Financial Prediction.
• Pattern Recognition Techniques in Data Analytics.
• Text Mining and Natural Language Processing Methods
• Scalable Approaches for Big Data Processing.
• Optimization Techniques:
• Linear and Non-linear Programming Techniques.
• Heuristic and Metaheuristic Methods for Global Optimization.
• Multi-objective Optimization Techniques.
• Swarm Intelligence Methods like Particle Swarm Optimization.
• Algorithms for Network Optimization Issues.
• Algorithmic Game Theory:
• Methods for Mechanism Design and Auction Theory.
• Cooperative Game Theory Techniques in Economics and Political Science.
• Computational Aspects of Bargaining and Negotiation.
• Methods for Forecasting Market Equilibria.

What resources and research methods should I utilize to develop and support my MS thesis idea?

            Manipulating the proper resources and utilizing efficient research techniques is important to build and assist your MS thesis idea. Here, we suggest the below specified directions on what techniques and resources you can employ in for your MS thesis:

• Institution Libraries:
• Make use of your institution’s library sources, such as educational journals, books, dissertations, and theses.
• Mostly, libraries offer availability to concentrated research equipment and databases that are not freely accessible.
• Institutional Journals and Databases:
• We advise you to use databases like JSTOR, Google Scholar, IEEE Xplore, ACM Digital Library, and PubMed to explore expert journals, conference papers and articles.
• Keep Upgraded with the modern research in your domain. To justify the theories and contents, employ these resources.
• Software and Analytical Tools:
• Based on your research necessities, incorporate software such as R, MATLAB, Python, or SPSS for data analysis.
• Tools including NVivo are very supportive for thematic analysis and data coding especially in qualitative-based research.
• Experimental or Simulation Tools:
• Simulation software or programming platforms may be needed for developing and experiments, particularly in domains such as computer science, or engineering.
• Research Techniques:
• Quantitative Techniques: Incorporate experiments, reviews, or previous datasets for research related to statistical investigation.
• Qualitative Techniques: Utilize interviews, concentrate groups or content analysis to collect deep perceptions for exploratory-based study.
• Online Surveys and Questionnaires:
• To create and share surveys for gathering important data, employ tools such as SurveyMonkey or Google Forms.
• Workshops, Seminars, and Conferences:
• To obtain perceptions, reviews, and interact with experts in your domain, engage in educational seminars, conferences, and workshops.
• These movements are essential to interpret latest advancements and discussions.
• Professional Associations and Journals:
• Mainly to obtain resources, journals and chances to communicate, involve in professional associations relevant to your domain.
• Tutors and Experts:
• Frequently share your ideas with the thesis experts or tutors. They will offer instructions, reviews, and important interpretations in accordance with their expertise.
• Peer Collaboration:
• Connect with experts to develop, discuss, and get reviews from them. Research committees or associations are also advantageous.
• Moral Considerations and Permissions:
• Make sure you have the required moral permissions and acceptances when dealing with human-based aspects.
• Time Handling Tools:
• To aim and monitor your research process, utilize project handling tools such as a simple Gantt chart, Asana, or Trello.
• Writing and Citation Tools:
• Various tools including Zotero, Mendeley, or EndNote are very supportive in handling references and citations.
• Make use of the institution’s writing instructions to format your thesis work and follow institution guidelines.
• Plagiarism Checkers:
• Verify the novelty of your project by employing plagiarism identification software.
• Drafting and Revision:
• We encourage you to write various drafts and revise thoroughly. To improve your project, expert’s feedback and reviews are very essential.

MPhil Research Thesis Writing Services

Are you in search of the best writers for your MPhil Research? phdservices.org will serve as a best solution for your thesis writing. Our support team of experts are waiting for your requirements we can help you in any area of domain with the best thesis experts.

• Comparison of RIP, EIGRP, OSPF, IGRP routing protocols in wireless local area network (WLAN) by using OPNET simulator tool-A practical approach
• Evaluation of an OPNET model for unmanned aerial vehicle (UAV) networks
• Design and configuration of avoidance technique for worst situation in zigbee communications using OPNET
• A systematic approach for congestion control in wireless Ad hoc network using Opnet
• Modeling and simulation of Ethernet Passive Optical Network (EPON) experiment platform based on OPNET Modeler
• Analysis of rip, OSPF, and EIGRP routing protocols using opnet
• Opnet Simulation of a multi-hop self-organizing Wireless Sensor Network
• Voice communication over mobile ad hoc networks: evaluation of a QoS extension of OLSR using OPNET
• Integration of real network components into OPNET modeler co-simulation process
• Performance of UMTS/WLAN integration at hot-spot locations using OPNET
• Modeling a University Computer Laboratory using OPNET Software
• Analysis of link utilization in MPLS enabled network using OPNET IT Guru
• Development of laboratory exercises based on the opnet network simulating approach
• Simulation of TinyOS Wireless Sensor Networks Using OPNET
• QoS analysis of VoIP traffic for different codecs and frame counts per packet in multimedia environment using OPNET
• Performance analysis of enhanced interior gateway routing protocol (EIGRP) over open shortest path first (OSPF) protocol with opnet
• ns-2 vs. OPNET: a comparative study of the IEEE 802.11 e technology on MANET environments
• OPNET simulation of self-organizing restorable SONET mesh transport networks
• OPNET-based performance analysis of the communication network in a charging station of electric vehicles
• Evaluation and Investigation of Throughput and Delay on Ethernet and FDDI Technologies using OPNET

MILESTONE 1: Research Proposal

Finalize journal (indexing).

Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.

Research Subject Selection

As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.

Research Topic Selection

We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other

Literature Survey Writing

To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)

Case Study Writing

After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.

Problem Statement

Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.

Writing Research Proposal

Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)

MILESTONE 2: System Development

Fix implementation plan.

We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.

Tools/Plan Approval

We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.

Pseudocode Description

Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.

Develop Proposal Idea

We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.

Comparison/Experiments

We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.

Graphs, Results, Analysis Table

We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.

Project Deliverables

For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.

MILESTONE 3: Paper Writing

Choosing right format.

We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.

Collecting Reliable Resources

Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.

Writing Rough Draft

We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources

Proofreading & Formatting

We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on

Native English Writing

We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.

Scrutinizing Paper Quality

We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).

Plagiarism Checking

We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.

MILESTONE 4: Paper Publication

Finding apt journal.

We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.

Lay Paper to Submit

We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.

Paper Submission

We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.

Paper Status Tracking

We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.

Revising Paper Precisely

When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.

Get Accept & e-Proofing

We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.

Publishing Paper

Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link

MILESTONE 5: Thesis Writing

Identifying university format.

We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.

Gathering Adequate Resources

We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.

Writing Thesis (Preliminary)

We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.

Skimming & Reading

Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.

Fixing Crosscutting Issues

This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.

Organize Thesis Chapters

We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.

Writing Thesis (Final Version)

We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.

How PhDservices.org deal with significant issues ?

1. novel ideas.

Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.

2. Plagiarism-Free

To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

3. Confidential Info

We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.

• Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
• Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.

CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.

4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.

5. No Duplication

After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.

Client Reviews

I ordered a research proposal in the research area of Wireless Communications and it was as very good as I can catch it.

I had wishes to complete implementation using latest software/tools and I had no idea of where to order it. My friend suggested this place and it delivers what I expect.

It really good platform to get all PhD services and I have used it many times because of reasonable price, best customer services, and high quality.

My colleague recommended this service to me and I’m delighted their services. They guide me a lot and given worthy contents for my research paper.

I’m never disappointed at any kind of service. Till I’m work with professional writers and getting lot of opportunities.

- Christopher

Once I am entered this organization I was just felt relax because lots of my colleagues and family relations were suggested to use this service and I received best thesis writing.

I recommend phdservices.org. They have professional writers for all type of writing (proposal, paper, thesis, assignment) support at affordable price.

You guys did a great job saved more money and time. I will keep working with you and I recommend to others also.

These experts are fast, knowledgeable, and dedicated to work under a short deadline. I had get good conference paper in short span.

Guys! You are the great and real experts for paper writing since it exactly matches with my demand. I will approach again.

I am fully satisfied with thesis writing. Thank you for your faultless service and soon I come back again.

Trusted customer service that you offer for me. I don’t have any cons to say.

I was at the edge of my doctorate graduation since my thesis is totally unconnected chapters. You people did a magic and I get my complete thesis!!!

- Abdul Mohammed

Good family environment with collaboration, and lot of hardworking team who actually share their knowledge by offering PhD Services.

I enjoyed huge when working with PhD services. I was asked several questions about my system development and I had wondered of smooth, dedication and caring.

I had not provided any specific requirements for my proposal work, but you guys are very awesome because I’m received proper proposal. Thank you!

- Bhanuprasad

I was read my entire research proposal and I liked concept suits for my research issues. Thank you so much for your efforts.

- Ghulam Nabi

I am extremely happy with your project development support and source codes are easily understanding and executed.

Hi!!! You guys supported me a lot. Thank you and I am 100% satisfied with publication service.

- Abhimanyu

I had found this as a wonderful platform for scholars so I highly recommend this service to all. I ordered thesis proposal and they covered everything. Thank you so much!!!

Related Pages

Trending Data Mining Thesis Topics

            Data mining seems to be the act of analyzing large amounts of data in order to uncover business insights that can assist firms in fixing issues, reducing risks, and embracing new possibilities . This article provides a complete picture on data mining thesis topics where you can get all information regarding data mining research

How does data mining work?

• A standard data mining design begins with the appropriate business statement in the questionnaire, the appropriate data is collected to tackle it, and the data is prepared for the examination.
• What happens in the earlier stages determines how successful the later versions are.
• Data miners should assure the data quality they utilize as input for research because bad data quality results in poor outcomes.
• Establishing a detailed understanding of the design factors, such as the present business scenario, the project’s main business goal, and the performance objectives.
• Identifying the data required to address the problem as well as collecting this from all sorts of sources.
• Addressing any errors and bugs, like incomplete or duplicate data, and processing the data in a suitable format to solve the research questions.
• Algorithms are used to find patterns from data.
• Identifying if or how another model’s output will contribute to the achievement of a business objective.
• In order to acquire the optimum outcome, an iterative process is frequently used to identify the best method.
• Getting the project’s findings suitable for making decisions in real-time

  The techniques and actions listed above are repeated until the best outcomes are achieved. Our engineers and developers have extensive knowledge of the tools, techniques, and approaches used in the processes described above. We guarantee that we will provide the best research advice w.r.t to data mining thesis topics and complete your project on schedule. What are the important data mining tasks?

Data Mining Tasks 

• Data mining finds application in many ways including description, Analysis, summarization of data, and clarifying the conceptual understanding by data description
• And also prediction, classification, dependency analysis, segmentation, and case-based reasoning are some of the important data mining tasks
• Regression – numerical data prediction (stock prices, temperatures, and total sales)
• Data warehousing – business decision making and large-scale data mining
• Classification – accurate prediction of target classes and their categorization
• Association rule learning – market-based analytical tools that were involved in establishing variable data set relationship
• Machine learning – statistical probability-based decision making method without complicated programming
• Data analytics – digital data evaluation for business purposes
• Clustering – dataset partitioning into clusters and subclasses for analyzing natural data structure and format
• Artificial intelligence – human-based Data analytics for reasoning, solving problems, learning, and planning
• Data preparation and cleansing – conversion of raw data into a processed form for identification and removal of errors

You can look at our website for a more in-depth look at all of these operations. We supply you with the needed data, as well as any additional data you may need for your data mining thesis topics . We supply non-plagiarized data mining thesis assistance in any fresh idea of your choice. Let us now discuss the stages in data mining that are to be included in your thesis topics

How to work on a data mining thesis topic? 

 The following are the important stages or phases in developing data mining thesis topics.

• First of all, you need to identify the present demand and address the question
• The next step is defining or specifying the problem
• Collection of data is the third step
• Alternative solutions and designs have to be analyzed in the next step
• The proposed methodology has to be designed
• The system is then to be implemented

Usually, our experts help in writing codes and implementing them successfully without hassles . By consistently following the above steps you can develop one of the best data mining thesis topics of recent days. Furthermore, technically it is important for you to have a better idea of all the tasks and techniques involved in data mining about which we have discussed below

• Data visualization
• Neural networks
• Statistical modeling
• Genetic algorithms and neural networks
• Decision trees and induction
• Discriminant analysis
• Induction techniques
• Association rules and data visualization
• Bayesian networks
• Correlation
• Regression analysis
• Regression analysis and regression trees

If you are looking forward to selecting the best tool for your data mining project then evaluating its consistency and efficiency stands first. For this, you need to gain enough technical data from real-time executed projects for which you can directly contact us. Since we have delivered an ample number of data mining thesis topics successfully we can help you in finding better solutions to all your research issues. What are the points to be remembered about the data mining strategy?

• Furthermore, data mining strategies must be picked before instruments in order to prevent using strategies that do not align with the article’s true purposes.
• The typical data mining strategy has always been to evaluate a variety of methodologies in order to select one which best fits the situation.
• As previously said, there are some principles that may be used to choose effective strategies for data mining projects.
• Since they are easy to handle and comprehend
• They could indeed collaborate with definitional and parametric data
• Tare unaffected by critical values, they could perhaps function with incomplete information
• They could also expose various interrelationships and an absence of linear combinations
• They could indeed handle noise in records
• They can process huge amounts of data.
• Decision trees, on the other hand, have significant drawbacks.
• Many rules are frequently necessary for dependent variables or numerous regressions, and tiny changes in the data can result in very different tree architectures.

All such pros and cons of various data mining aspects are discussed on our website. We will provide you with high-quality research assistance and thesis writing assistance . You may see proof of our skill and the unique approach that we generated in the field by looking at the samples of the thesis that we produced on our website. We also offer an internal review to help you feel more confident. Let us now discuss the recent data mining methodologies

Current methods in Data Mining

• Prediction of data (time series data mining)
• Discriminant and cluster analysis
• Logistic regression and segmentation

Our technical specialists and technicians usually give adequate accurate data, a thorough and detailed explanation, and technical notes for all of these processes and algorithms. As a result, you can get all of your questions answered in one spot. Our technical team is also well-versed in current trends, allowing us to provide realistic explanations for all new developments. We will now talk about the latest data mining trends

Latest Trending Data Mining Thesis Topics

• Visual data mining and data mining software engineering
• Interaction and scalability in data mining
• Exploring applications of data mining
• Biological and visual data mining
• Cloud computing and big data integration
• Data security and protecting privacy in data mining
• Novel methodologies in complex data mining
• Data mining in multiple databases and rationalities
• Query language standardization in data mining
• Integration of MapReduce, Amazon EC2, S3, Apache Spark, and Hadoop into data mining

These are the recent trends in data mining. We insist that you choose one of the topics that interest you the most. Having an appropriate content structure or template is essential while writing a thesis . We design the plan in a chronological order relevant to the study assessment with this in mind. The incorporation of citations is one of the most important aspects of the thesis. We focus not only on authoring but also on citing essential sources in the text. Students frequently struggle to deal with appropriate proposals when commencing their thesis. We have years of experience in providing the greatest study and data mining thesis writing services to the scientific community, which are promptly and widely acknowledged. We will now talk about future research directions of research in various data mining thesis topics

Future Research Directions of Data Mining

• The potential of data mining and data science seems promising, as the volume of data continues to grow.
• It is expected that the total amount of data in our digital cosmos will have grown from 4.4 zettabytes to 44 zettabytes.
• We’ll also generate 1.7 gigabytes of new data for every human being on this planet each second.
• Mining algorithms have completely transformed as technology has advanced, and thus have tools for obtaining useful insights from data.
• Only corporations like NASA could utilize their powerful computers to examine data once upon a time because the cost of producing and processing data was simply too high.
• Organizations are now using cloud-based data warehouses to accomplish any kinds of great activities with machine learning, artificial intelligence, and deep learning.

The Internet of Things as well as wearable electronics, for instance, has transformed devices to be connected into data-generating engines which provide limitless perspectives into people and organizations if firms can gather, store, and analyze the data quickly enough. What are the aspects to be remembered for choosing the best  data mining thesis topics?

• An excellent thesis topic is a broad concept that has to be developed, verified, or refuted.
• Your thesis topic must capture your curiosity, as well as the involvement of both the supervisor and the academicians.
• Your thesis topic must be relevant to your studies and should be able to withstand examination.

Our engineers and experts can provide you with any type of research assistance on any of these data mining development tools . We satisfy the criteria of your universities by ensuring several revisions, appropriate formatting and editing of your thesis, comprehensive grammar check, and so on . As a result, you can contact us with confidence for complete assistance with your data mining thesis. What are the important data mining thesis topics?

Research Topics in Data Mining

• Handling cost-effective, unbalanced non-static data
• Issues related to data mining and their solutions
• Network settings in data mining and ensuring privacy, security, and integrity of data
• Environmental and biological issues in data mining
• Complex data mining and sequential data mining (time series data)
• Data mining at higher dimensions
• Multi-agent data mining and distributed data mining
• High-speed data mining
• Development of unified data mining theory

We currently provide full support for all parts of research study, development, investigation, including project planning, technical advice, legitimate scientific data, thesis writing, paper publication, assignments and project planning, internal review, and many other services. As a result, you can contact us for any kind of help with your data mining thesis topics.

Why Work With Us ?

Senior research member, research experience, journal member, book publisher, research ethics, business ethics, valid references, explanations, paper publication, 9 big reasons to select us.

Our Editor-in-Chief has Website Ownership who control and deliver all aspects of PhD Direction to scholars and students and also keep the look to fully manage all our clients.

Our world-class certified experts have 18+years of experience in Research & Development programs (Industrial Research) who absolutely immersed as many scholars as possible in developing strong PhD research projects.

We associated with 200+reputed SCI and SCOPUS indexed journals (SJR ranking) for getting research work to be published in standard journals (Your first-choice journal).

PhDdirection.com is world’s largest book publishing platform that predominantly work subject-wise categories for scholars/students to assist their books writing and takes out into the University Library.

Our researchers provide required research ethics such as Confidentiality & Privacy, Novelty (valuable research), Plagiarism-Free, and Timely Delivery. Our customers have freedom to examine their current specific research activities.

Our organization take into consideration of customer satisfaction, online, offline support and professional works deliver since these are the actual inspiring business factors.

Solid works delivering by young qualified global research team. "References" is the key to evaluating works easier because we carefully assess scholars findings.

Detailed Videos, Readme files, Screenshots are provided for all research projects. We provide Teamviewer support and other online channels for project explanation.

Worthy journal publication is our main thing like IEEE, ACM, Springer, IET, Elsevier, etc. We substantially reduces scholars burden in publication side. We carry scholars from initial submission to final acceptance.

Related Pages

Our benefits, throughout reference, confidential agreement, research no way resale, plagiarism-free, publication guarantee, customize support, fair revisions, business professionalism, domains & tools, we generally use, wireless communication (4g lte, and 5g), ad hoc networks (vanet, manet, etc.), wireless sensor networks, software defined networks, network security, internet of things (mqtt, coap), internet of vehicles, cloud computing, fog computing, edge computing, mobile computing, mobile cloud computing, ubiquitous computing, digital image processing, medical image processing, pattern analysis and machine intelligence, geoscience and remote sensing, big data analytics, data mining, power electronics, web of things, digital forensics, natural language processing, automation systems, artificial intelligence, mininet 2.1.0, matlab (r2018b/r2019a), matlab and simulink, apache hadoop, apache spark mlib, apache mahout, apache flink, apache storm, apache cassandra, pig and hive, rapid miner, support 24/7, call us @ any time, +91 9444829042, [email protected].

Questions ?

Click here to chat with us

Customer Reviews

Customer Reviews

The writers of PenMyPaper establish the importance of reflective writing by explaining its pros and cons precisely to the readers. They tend to ‘do my essay’ by adding value to both you (enhancing your knowledge) and your paper.

Emilie Nilsson

Finished Papers

Can I pay someone to write my essay?

Time does not stand still and the service is being modernized at an incredible speed. Now the customer can delegate any service and it will be carried out in the best possible way.

Writing essays, abstracts and scientific papers also falls into this category and can be done by another person. In order to use this service, the client needs to ask the professor about the topic of the text, special design preferences, fonts and keywords. Then the person contacts the essay writing site, where the managers tell him about the details of cooperation. You agree on a certain amount that you are ready to give for the work of a professional writer.

A big bonus of such companies is that you don't have to pay money when ordering. You first receive a ready-made version of the essay, check it for errors, plagiarism and the accuracy of the information, and only then transfer funds to a bank card. This allows users not to worry about the site not fulfilling the agreements.

Go to the website and choose the option you need to get the ideal job, and in the future, the best mark and teacher's admiration.

Finished Papers

Customer Reviews

Margurite J. Perez

John N. Williams

Reset password

Email not found.

Adam Dobrinich

Finish Your Essay Today! EssayBot Suggests Best Contents and Helps You Write. No Plagiarism!

DRE #01103083

Finished Papers

Adam Dobrinich

Customer Reviews

Perfect Essay

• M-Phil-Thesis-In-Computer-Science-Data-Mining
• MPhil Thesis in Computer Science Data Mining

Leave a comment Cancel

Save my name, email, and website in this browser for the next time I comment.

Professional essay writing services

Customer Reviews

is here to help you!

Student years are the best time of one’s life. You are in the prime of your life and hopeful about the bright future ahead. This is the period that leaves the funniest photos, the sweetest memories, and gives you the most faithful friends. However, there is one thing that spoils all the fun – assignment writing. Have you ever struggled to write an essay or prepare a speech only to find that the deadline is getting closer, and the work is not ready yet? Are you desperate for someone to have your paper done? Ordering it online is a really convenient option, but you must be sure that the final product is worth the price. is one of the leading online writing centers that deliver only premium quality essays, term papers, and research papers.

Once you place an order and provide all the necessary instructions, as well as payment, one of our writers will start working on it. Be sure we won’t choose a person to do your paper at random. The writer assigned will hold an academic degree in the respective area of expertise, which makes it possible for him/her to find the relevant information, carry out exhaustive research, and develop a comprehensible and well-organized document. The final product will meet all your specifications regarding the content and formatting style. What is more, you will not have to proofread it for any grammatical or spelling errors, because our professionals have a really good command of the English language.

How can I be sure you will write my paper, and it is not a scam?

Sophia Melo Gomes

2269 Chestnut Street, #477 San Francisco CA 94123

Will You Write Me an Essay?

Students turn to us not only with the request, "Please, write my essay for me." From the moment we hear your call, homework is no longer an issue. You can count on our instant assistance with all essay writing stages. Just to let you know, our essay writers do all the work related to writing, starting with researching a topic and ending with formatting and editing the completed paper. We can help you choose the right topic, do in-depth research, choose the best up-to-date sources, and finally compose a brilliant piece to your instructions. Choose the formatting style for your paper (MLA, APA, Chicago/Turabian, or Harvard), and we will make all of your footnotes, running heads, and quotations shine.

Our professional essay writer can help you with any type of assignment, whether it is an essay, research paper, term paper, biography, dissertation, review, course work, or any other kind of writing. Besides, there is an option to get help with your homework assignments. We help complete tasks on Biology, Chemistry, Engineering, Geography, Maths, Physics, and other disciplines. Our authors produce all types of papers for all degree levels.

Finished Papers