关键词: 关联规则, 遗传算法, 模拟退火算法, 模拟退火遗传算法

Abstract: Simulated annealing genetic algorithm was improved and used in association rule mining. A new association rule mining algorithm based on improved simulated annealing genetic algorithm was presented. This algorithm used adaptive crossover probability and mutation probability, and restrained premature convergence effectively. Experiment results demonstrate that this method can solve association rule mining effectively.

Key words: association rule, genetic algorithm, simulated annealing algorithm, simulated annealing genetic algorithm