摘要
阐述了关联规则挖掘问题,提出了一种新的基于混合蚁群算法的关联规则挖掘方法,利用遗传算法对蚁群算法的参数组合进行优化,最终确定出一组较为理想的参数组合,提高了算法的运算性能。实验结果显示该方法能有效地解决关联规则挖掘问题。
This paper introduces the problem of association rules mining and proposes a new mining method based on the hybrid ant colony algorithm. The genetic algorithm is used to optimize the parameters of the ant colony algorithm, and ultimately a group of perfect combination of the parameters is determined, so improved. The test results demonstrate that the operational performance of the algorithm is the method can solve association rules mining effectively.
出处
《矿山机械》
北大核心
2009年第4期28-30,共3页
Mining & Processing Equipment
关键词
关联规则挖掘
蚁群算法
遗传算法
association rules mining
ant colony algorithm
genetic algorithm
