Multi-dimension association rule mining based on Adaptive Genetic Algorithm
URKE), 2011 International Conference（2011）
摘要
This paper proposes a method of mining multi-dimension association rule based on the Adaptive Genetic Algorithm (AGA) with crossover matrix and mutation matrix. In this association rule mining system, selection, mutation, and crossover are all parameter-free in evolution process. Results show that: combined with the adaptive genetic algorithm, the precision and efficiency of mining association rules is improved.
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关键词
crossover matrix,multi-dimension association rule,genetic algorithms,adaptive genetic algorithm,mutation matrix,data mining,multidimension association rule mining,association rule mining,indexation,association rule,genetic algorithm
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