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Reseach Article

A Survey of Various Methodologies for Hiding Sensitive Association Rules

by Tapan Sirole, Jaytrilok Choudhary
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 18
Year of Publication: 2014
Authors: Tapan Sirole, Jaytrilok Choudhary
10.5120/16893-6942

Tapan Sirole, Jaytrilok Choudhary . A Survey of Various Methodologies for Hiding Sensitive Association Rules. International Journal of Computer Applications. 96, 18 ( June 2014), 12-15. DOI=10.5120/16893-6942

@article{ 10.5120/16893-6942,
author = { Tapan Sirole, Jaytrilok Choudhary },
title = { A Survey of Various Methodologies for Hiding Sensitive Association Rules },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 18 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number18/16893-6942/ },
doi = { 10.5120/16893-6942 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:05.392824+05:30
%A Tapan Sirole
%A Jaytrilok Choudhary
%T A Survey of Various Methodologies for Hiding Sensitive Association Rules
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 18
%P 12-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Association rule hiding Association rule data mining Privacy preservation.