Literature Review on Interestingness Based Data Mining for Business Development

Authors

  • Sakthi Nathiarasan A  Department of CSE, Adhiyamaan College of Engineering, Hosur, India
  • Manikandan M  Department of CSE, Adhiyamaan College of Engineering, Hosur, India

Keywords:

Association Rule Mining, Utility mining, Interestingness, Utility

Abstract

Association Rule mining is one of the popular data mining technique, which finds correlation between the data items present in the database. Normal Association Rule mining Algorithm finds frequent itemsets based on some statistical measures and it does not includes the interestingness of the business end user. This in turn leads to the development of Semantic Association Rule mining or utility mining. Utility mining considers external utility factors in addition to normal itemset frequencies. several utility mining Algorithms in the literature were discussed. In this paper we present a literature review of various research work carried by different researchers in the field of utility mining. Of course, a single article cannot be a complete review of all the research work, yet we hope that it will provide a guideline for future researches in utility mining.

References

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[17] Sakthi Nathiarasan A, Manikandan M, “Performance Oriented Mining of Utility Frequent Itemsets”, Proceedings of IEEE International Conference on Circuits, Communication, Control and Computing (I4C-2014), M S Ramaiah Institute of Technology, Bangalore, November 2014.
[18] Sakthi Nathiarasan A, “Genetic Algorithm Based Utility Mining for Finding High Utility Itemsets”, Proceedings of IEEE International conference on Advanced Computing(ICoAC-14), MIT Campus, Anna University, Chennai, December 2014.
[19] Sakthi Nathiarasan A, Kalaiyarasi, Manikandan, “Literature Review on Infrequent Itemset Mining Algorithms”, International Journal of a Advanced Research in Computer and Communication Engineering (IJARCCE), Vol 3, Issue 8, August 2014.




International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-02-25

Issue

Volume 1, Issue 1, January-February-2015

Section

Research Articles

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How to Cite

[1]
Sakthi Nathiarasan A, Manikandan M, " Literature Review on Interestingness Based Data Mining for Business Development, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.99-104, January-February-2015.