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Hybrid Approach to Association Rule Hiding

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IJCA Proceedings on National Conference on Information Processing and Remote Computing
© 2015 by IJCA Journal
NCIPRC 2015 - Number 2
Year of Publication: 2015
Authors:
S. Sangeetha
R. Kiruba

S.sangeetha and R Kiruba. Article: Hybrid Approach to Association Rule Hiding. IJCA Proceedings on National Conference on Information Processing and Remote Computing NCIPRC 2015(2):17-23, April 2015. Full text available. BibTeX

@article{key:article,
	author = {S.sangeetha and R. Kiruba},
	title = {Article: Hybrid Approach to Association Rule Hiding},
	journal = {IJCA Proceedings on National Conference on Information Processing and Remote Computing},
	year = {2015},
	volume = {NCIPRC 2015},
	number = {2},
	pages = {17-23},
	month = {April},
	note = {Full text available}
}

Abstract

Data mining is a technique for summarizing and identifying similar patterns in data. Data mining can take different approaches and build different models depending upon the type of data involved and the objectives. In this Paper we follow the association rules approach for finding the correlation relationships among large set of data items. The rules are generated in order to hide the sensitive rules which are highly confidential by using DSR (Decrease support value of Right Hand Side) approach and PSO (Particle Swarm Optimization) approach. In this paper we propose a new algorithm called HYBRID algorithm. The objective of this paper is to reduce the side effects such as ghost rule and lost rule and number of modification and to increase the hiding ratio by hybrid approach which is achieved by combination of DSR & PSO. Experimental results of the proposed approach demonstrate the efficient information hiding with fewer side effects and modifications.

References

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  • Yi-Hung Wu, Chia-Ming Chiang, and Arbee L. P. Chen, Senior Member, IEEE Computer Society, "Hiding Sensitive Association Rules with Limited Side Effects, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 19, NO. 1, JANUARY 2007
  • Ila Chandrakar, Yelipe Usha Rani, Mortha Manasa and Kondabala Renuk "Hybrid Algorithm for Privacy Preserving Association Rule Mining" Department of Information Technology,VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.
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  • Dr. Duraiswamy. K, Dr. Manjula. D, and Maheswari. N "A New Approach to Sensitive Rule Hiding", ccsenet journal, vol 1, No. 3, August, 107-111