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Reseach Article

Hiding Sensitive Association Rules on Stars

Published on April 2012 by R. D. Chintamani, I. F. Shaikh, A. D. Waghmare
Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
Foundation of Computer Science USA
ETCSIT - Number 1
April 2012
Authors: R. D. Chintamani, I. F. Shaikh, A. D. Waghmare
6fa78806-e78f-4073-83d7-01e5803a0bb3

R. D. Chintamani, I. F. Shaikh, A. D. Waghmare . Hiding Sensitive Association Rules on Stars. Emerging Trends in Computer Science and Information Technology (ETCSIT2012). ETCSIT, 1 (April 2012), 16-19.

@article{
author = { R. D. Chintamani, I. F. Shaikh, A. D. Waghmare },
title = { Hiding Sensitive Association Rules on Stars },
journal = { Emerging Trends in Computer Science and Information Technology (ETCSIT2012) },
issue_date = { April 2012 },
volume = { ETCSIT },
number = { 1 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 16-19 },
numpages = 4,
url = { /proceedings/etcsit/number1/5962-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%A R. D. Chintamani
%A I. F. Shaikh
%A A. D. Waghmare
%T Hiding Sensitive Association Rules on Stars
%J Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%@ 0975-8887
%V ETCSIT
%N 1
%P 16-19
%D 2012
%I International Journal of Computer Applications
Abstract

Current technology for association rules hiding mostly applies to data stored in a single transaction table. This work presents a novel algorithm for hiding sensitive association rules in data warehouses. A data warehouse is typically made up of multiple dimension tables and a fact table as in a star schema. Based on the strategies of reducing the confidence of sensitive association rule and without constructing the whole joined table, the proposed algorithm can effectively hide multi-relational association rules. Examples and analyses are given to demonstrate the efficacy of the approach.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Privacy Preserving Hiding Multi-relational Data Mining