Multi-dimension association rule mining based on Adaptive Genetic Algorithm

Abstract

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.