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Data Science Journal
The associative classification method integrates association rule mining and classification. Constructing an efficient classifier with a small set of high quality rules is a highly important but indeed a challenging task. The lazy learning associative classification method successfully removes the need for a classifier but suffers from high computation costs. This paper proposes a Compact Highest Subset Confidence-Based Associative Classification scheme that generates compact subsets based ondoi:10.2481/dsj.14-035 fatcat:iag37tsdfzb2fe5lhcgu3nt5my