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A Survey on Association Rule Hiding Methods

by Khyati B. Jadav, Jignesh Vania, Dhiren R. Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 13
Year of Publication: 2013
Authors: Khyati B. Jadav, Jignesh Vania, Dhiren R. Patel
10.5120/14177-2357

Khyati B. Jadav, Jignesh Vania, Dhiren R. Patel . A Survey on Association Rule Hiding Methods. International Journal of Computer Applications. 82, 13 ( November 2013), 20-25. DOI=10.5120/14177-2357

@article{ 10.5120/14177-2357,
author = { Khyati B. Jadav, Jignesh Vania, Dhiren R. Patel },
title = { A Survey on Association Rule Hiding Methods },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 13 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number13/14177-2357/ },
doi = { 10.5120/14177-2357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:12.481145+05:30
%A Khyati B. Jadav
%A Jignesh Vania
%A Dhiren R. Patel
%T A Survey on Association Rule Hiding Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 13
%P 20-25
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, the use of data mining techniques and related applications has increased a lot as it is used to extract important knowledge from large amount of data. This has increased the disclosure risks to sensitive information when the data is released to outside parties. Database containing sensitive knowledge must be protected against unauthorized access. Seeing this it has become necessary to hide sensitive knowledge in database. To address this problem, Privacy Preservation Data Mining (PPDM) include association rule hiding method to protect privacy of sensitive data against association rule mining. In this paper, we survey existing approaches to association rule hiding, along with some open challenges. We have also summarized few of the recent evolution.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Privacy preserving data mining

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