Hiding sensitive association rules on stars

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

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.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010
Pages505-508
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 1
Event2010 IEEE International Conference on Granular Computing, GrC 2010 - San Jose, CA, United States
Duration: 2010 Aug 142010 Aug 16

Publication series

NameProceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010

Other

Other2010 IEEE International Conference on Granular Computing, GrC 2010
CountryUnited States
CitySan Jose, CA
Period10-08-1410-08-16

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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