Top 10 challenging problems in data mining

In a previous post, I wrote about the top 10 data mining algorithms, a paper that was published in Knowledge and Information Systems. The “selective” process is the same as the one that has been used to identify the most important (according to answers of the survey) data mining problems. The paper by Yang and Wu has been published (in 2006) in the International Journal of Information Technology & Decision Making. The paper contains the following problems (in no specific order):

  • Developing a unifying theory of data mining
  • Scaling up for high dimensional data and high speed data streams
  • Mining sequence data and time series data
  • Mining complex knowledge from complex data
  • Data mining in a network setting
  • Distributed data mining and mining multi-agent data
  • Data mining for biological and environmental problems
  • Data Mining process-related problems
  • Security, privacy and data integrity
  • Dealing with non-static, unbalanced and cost-sensitive data

I sometimes receive emails from master student or practitioners interested in data mining. The usual question is “What can I do as research in data mining?”. Of course, the answer depends on what you like and the opportunities of the moment. However, this paper can maybe give some hints on possible directions for research.

As usual, the “data mining automation process” issue is mentioned. It is worth noting that researchers argue that they need to find a way to automate data mining, while practitioners say that they can do it (for example KXEN). Finally, I think that one of the most important issue is pointed out by the following sentence in the paper:

“[…] they’re [data mining systems] unable to relate the results of mining to the real-world decisions they affect […]”

In my opinion, it is more subjective to rank top problems than top algorithms. Most people will certainly agree on the selected data mining algorithms. The question is more subjective regarding data mining problems since some of them may only be relevant to certain fields of research.

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375 Comments on Top 10 challenging problems in data mining

  1. V.Rajagopal on Wed, 10th Aug 2016 7:59 am
  2. Hi sir,

    Now I join MPhil .Please give me a one challenging research topic from datamining.

  3. R.Manimegalai on Sat, 13th Aug 2016 10:32 am
  4. Dear sir/madam,

    I am doing Ph.D I am planning to do research on big data classification Please suggest me the latest research topic on which i can start my work.

    Thank you sir.

  5. C. S. Udaya on Sat, 20th Aug 2016 10:02 am
  6. I joined Ph.D, my research topic is Datamining with big data. Please can you suggest me the research problem in this area, on which i can start my work

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  12. We found that when trying to identify issues or areas of concerns, we wrote queries to identify the Top 25 Negative Noun Tokens in Sentences and include the related sentences after Natural Language Processing. We then grouped those sentences for tagging in an interactive tree (tree of sentences). We were able to identify the top issues affecting consumers, very quickly; because of the refined sample size (Top 25 Tokens). We would repeat this effort with each week of new data…slowly becoming the knowledge experts in the source domain. As the unique issues started to dry up we instituted a dynamic filtering system where every keyword in a sentence became a filter. We could shuffle the results with each click, spinning the results. We also implemented the ability to combine those keywords and flip them for even more complex dynamic filters. And then we also started an automatic favourite keyword identification system so that on subsequent weeks of results, I knew which keywords/favs were able to pull back the targeted results we were after. So for those looking to find the top negative issues, this may be a plan of attack in the identification of issues, something you could include in your own system or check out http://text-analyzer.com to see this in action. Hope this helps someone when the uniqueness in the results seems to dry up.

  13. yashi garg on Tue, 20th Sep 2016 4:05 pm
  14. I want to do my PHD in Data Mining. Can you please suggest me some Research problems in this area and some research paper that would help me to write PHD Thesis proposal,please suggest the few problems.

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  35. ankush chauhan on Thu, 17th Nov 2016 10:20 am
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