JOURNAL ARTICLE

Mining fuzzy association rules

Abstract

Article Free Access Share on Mining fuzzy association rules Authors: Keith C. C. Chan Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong KongView Profile , Wai-Ho Au Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong KongView Profile Authors Info & Claims CIKM '97: Proceedings of the sixth international conference on Information and knowledge managementJanuary 1997 Pages 209–215https://doi.org/10.1145/266714.266898Online:01 January 1997Publication History 119citation1,684DownloadsMetricsTotal Citations119Total Downloads1,684Last 12 Months22Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Keywords:
Citation Association rule learning Computer science Library science World Wide Web Operations research History Engineering Artificial intelligence

Metrics

206
Cited By
1.84
FWCI (Field Weighted Citation Impact)
24
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Algebra and Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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