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A Survey of Various Methodologies for Hiding Sensitive Association Rules

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 18
Year of Publication: 2014
Authors:
Tapan Sirole
Jaytrilok Choudhary
10.5120/16893-6942

Tapan Sirole and Jaytrilok Choudhary. Article: A Survey of Various Methodologies for Hiding Sensitive Association Rules. International Journal of Computer Applications 96(18):12-15, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Tapan Sirole and Jaytrilok Choudhary},
	title = {Article: A Survey of Various Methodologies for Hiding Sensitive Association Rules},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {18},
	pages = {12-15},
	month = {June},
	note = {Full text available}
}

Abstract

Data mining and hiding are the future research directions in the field of knowledge engineering. The main challenges in data mining are finding the sensitive association and hide them without revealing sensitive information. The association rule hiding is a process in which the original database is modified in such way that precise sensitive rules are disappeared. In this paper, a survey of various recent approaches of association rule hiding has been described along with the comparison between them.

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