Works citing this work

4 works

Work: Efficient and Effective Clustering Methods for Spatial Data Mining

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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4. 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