基于小生境遗传算法的连续属性关联规则挖掘

Association rules mining from data with continuous attributes based on niche genetic algorithm

对连续属性数据进行关联规则提取是一个重要的课题,构造了一种新的遗传算法模型,在结构上采用三段式染色体,将连续属性离散化、属性约简和关联规则提取集成在一起,并将小生境引入到遗传算法中避免"早熟"现象。实验表明了该算法是有效的。

Discovery of association rules from data with continuous attributes is an important problem.In this paper,a new model of genetic algorithm with three-segment chromosomes is formulated for solving this problem.This algorithm integrates the discretization,reduction and mining association rules.And niche technology is introduced into genetic algorithm to avoid premature phenomenon.The experiment shows that the algorithm is correct and effective.