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Classification rule mining research based on hybrid genetic algorithm

Traditional classification rule mining based on genetic algorithm usually exists the problem of low quality of the mined rules, too many redundant rules in the population after optimization, and inaccuracy in classification. The paper analyzes the principles of classification rules mining, and proposes that classification rules mining methods based on hybrid genetic algorithm can effectively overcome the above disadvantages and improve the accuracy of classification rule mining.