Multi-table association rules hiding

Shyue Liang Wang, Tzung Pei Hong, Yu Chuan Tsai, Hung Yu Kao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Many approaches for preserving association rule privacy, such as association rule mining outsourcing, association rule hiding, and anonymity, have been proposed. In particular, association rule hiding on single transaction table has been well studied. However, hiding multi-relational association rule in data warehouses is not yet investigated. This work presents a novel algorithm to hide predictive association rules on multiple tables. Given a target predictive item, a technique is proposed to hide multi-relational association rules containing the target item without joining the multiple tables. Examples and analyses are given to demonstrate the efficiency of the approach.

Original languageEnglish
Title of host publicationProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages1298-1302
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo, Egypt
Duration: 2010 Nov 292010 Dec 1

Publication series

NameProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Other

Other2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Country/TerritoryEgypt
CityCairo
Period10-11-2910-12-01

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture

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