Association rule mining based on simulated annealing genetic algorithm
Xiyu Liu · Jisuanji gongcheng · 2005
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.