Mining fuzzy association rules

Chun Chung Chan, Wai Ho Au

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

144 Citations (Scopus)

Abstract

A technique called F-APACS which employs linguistic terms to represent the revealed regularities and exceptions for mining fuzzy association rules is presented. The linguistic representation is useful when the rules discovered are presented to human experts for examination. The definition of the linguistic terms is based on fuzzy set theory and the rules having these terms are called fuzzy association rules. The use of fuzzy techniques is considered as one of the key components of data mining systems because of the affinity with the human knowledge representation.
Original languageEnglish
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
PublisherACM
Pages209-215
Number of pages7
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 6th International Conference on Information and Knowledge Management, CIKM'97 - Las Vegas, NV, United States
Duration: 10 Nov 199714 Nov 1997

Conference

ConferenceProceedings of the 1997 6th International Conference on Information and Knowledge Management, CIKM'97
Country/TerritoryUnited States
CityLas Vegas, NV
Period10/11/9714/11/97

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

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