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Pruning Redundant Association Rules Using Maximum Entropy Principle

PAKDD, pp.135-147, (2002)

Cited: 79|Views38
EI

Abstract

Data mining algorithms produce huge sets of rules, practically impossible to analyze manually. It is thus important to develop methods for removing redundant rules from those sets. We present a solution to the problem using the Maximum Entropy approach. The problem of efficiency of Maximum Entropy computations is addressed by using closed...More

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