ARMGA: Identifying interesting association rules with genetic algorithms

Taylor & Francis Inc
Publication Type:
Journal Article
Applied Artificial Intelligence, 2005, 19 (7), pp. 677 - 689
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Priori-like algorithms for association rules mining have relied on two user-specified thresholds: minimum support and minimum confidence. There are two significant challenges to applying these algorithms to real-world applications: database-dependent min
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