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Association Rule Hiding based on Heuristic Approach by Deleting Item at R.H.S. Side of Sensitive Rule

by Divya C. Kalariya, Vinita Shah, Jay Vala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 8
Year of Publication: 2015
Authors: Divya C. Kalariya, Vinita Shah, Jay Vala
10.5120/21721-4870

Divya C. Kalariya, Vinita Shah, Jay Vala . Association Rule Hiding based on Heuristic Approach by Deleting Item at R.H.S. Side of Sensitive Rule. International Journal of Computer Applications. 122, 8 ( July 2015), 25-28. DOI=10.5120/21721-4870

@article{ 10.5120/21721-4870,
author = { Divya C. Kalariya, Vinita Shah, Jay Vala },
title = { Association Rule Hiding based on Heuristic Approach by Deleting Item at R.H.S. Side of Sensitive Rule },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 8 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number8/21721-4870/ },
doi = { 10.5120/21721-4870 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:02.596085+05:30
%A Divya C. Kalariya
%A Vinita Shah
%A Jay Vala
%T Association Rule Hiding based on Heuristic Approach by Deleting Item at R.H.S. Side of Sensitive Rule
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 8
%P 25-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Privacy preservation data mining is novel research area where data mining algorithms are analyzed for their side-effects they done on data privacy. Privacy preservation data mining (PPDM) deals with the problem of hiding the sensitive information while analyzing data. Many techniques are available for PPDM like data distortion, data hiding, rule hiding, data modification etc. Association rule hiding is one of the technique of PPDM. It hides sensitive rules which are generated by association rule generation algorithm before releasing database. This paper discusses different approaches of association rule hiding technique. In this paper, we propose a heuristic algorithm which provides privacy for sensitive rules while ensuring data quality. Proposed algorithm hides as many as possible rules at a time by modifying fewer transactions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining privacy preservation data mining (PPDM) Support Confidence Association rule hiding

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