Mining changes in association rules: a fuzzy approach

DOI10.1016/j.fss.2004.07.018zbMath1071.68534OpenAlexW2049739086MaRDI QIDQ703356

Wai-Ho Au, Keith C. C. Chan

Publication date: 11 January 2005

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.07.018

zbMATH Keywords

Data miningAssociation rulesApproximate reasoningTrendsChange miningEvolving dataFuzzy decision trees

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Information fusion from multiple databases using meta-association rules ⋮ Mining potentially more interesting association rules with fuzzy interest measure ⋮ Granular computing approach to finding association rules in relational database

Cites Work

• Information-theoretic fuzzy approach to data reliability and data mining
• Unnamed Item

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