Works citing this work

5 works

Work: A compact and understandable associative classifier based on overall coverage

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

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

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

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   ArticleData Mining Algorithms and ApplicationsMathematics20231 citations

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4. ACHC: Associative Classifier Based on Hierarchical Clustering

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   ABIABI:AkademIndex/openalex/2021.chapter.000095

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

   Jamolbek Mattiev, Christopher Meza, Branko Kavšek

   ArticleData Mining Algorithms and ApplicationsApplied Sciences20220 citations

   ABIABI:AkademIndex/openalex/2022.article.002421