基于遗传算法的Web行为挖掘研究

Research of Web Behaviour Mining Based on Genetic Algorithm

针对在Web行为挖掘中,统计学挖掘算法难以发现潜在、先验性的知识,文章提出一种基于遗传算法的Web行为挖掘方法。其通过遗传进化、机器学习的方式,解决了Web行为挖掘中的用户聚类分析和关联分析问题,以适应Web自身,以及Web用户群体行为的发展,试验结果证明了它的可行性和先进性。

This paper presents a method of Web behaviour mining based on genetic algorithm in order to solve the problem that statistic mining algorithm is difficult to find the htent,foreseeing knowledge in the Web behaviour mining . To fit the Web＇s and Web users behaviour＇s development it has solved users clustering and association analysis in web behaviour mining by the means of evolution , machine learning; and the experiment result has proved its feasibility and advancement.