MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules

Abstract

In this paper, a Pareto-based multi-objective differential evolution (DE) algorithm is proposed as a search strategy for mining accurate and comprehensible numeric association rules (ARs) which are optimal in the wider sense that no other rules are superior to them when all objectives are simultaneously considered. The proposed DE guided the search of ARs… (More)
DOI: 10.1016/j.asoc.2007.05.003

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