Works citing this work

6 works

Work: CBC: An associative classifier with a small number of rules

1. Distance based clustering of class association rules to build a compact, accurate and descriptive classifier

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2. Coverage-Based Classification Using Association Rule Mining

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3. CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier

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4. ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage

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5. ACHC: Associative Classifier Based on Hierarchical Clustering

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6. The Effect of “Directness” of the Distance Metric to Produce Compact and Accurate Associative Classification Models

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   ABIABI:AkademIndex/openalex/2022.article.002421