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Literature Review on Interestingness Based Data Mining for Business Development

Authors(2):

Sakthi Nathiarasan A, Manikandan M
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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.

Sakthi Nathiarasan A, Manikandan M

Association Rule Mining, Utility mining, Interestingness, Utility

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[13] C.F. Ahmed, S.K. Tanbeer, B.S. Jeong, and Y.- K. Lee, “Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases,” IEEE Trans. Knowledge and Data Eng., vol. 21, no. 12, pp. 1708-1721, Dec. 2009.
[14] Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, and Philip S. Yu “Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases”. IEEE transactions on knowledge and data engineering, vol. 25, no. 8, august 2013.
[15] Kenneth H. Rosen, "Discrete Mathematics and Its applications", Mc Graw Hill., 4th edition, 298-300.
[16] Vid Podpecan., Nada Lavrac. and Igor Kononenko.‘Fast Algorithm for Mining Utility Frequent Itemsets’,The Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases.,2009.
[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.




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Publication Details

Published in : Volume 1 | Issue 1 | January-Febuary - 2015
Date of Publication Print ISSN Online ISSN
2015-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
99-104 IJSRSET151113   Technoscience Academy

Cite This Article

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-Febuary-2015.
URL : http://ijsrset.com/IJSRSET151113.php

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