摘要
Web访问挖掘在电子商务和个性化网站等方面应用非常广泛。针对Web用户聚类和页面聚类的问题,提出了动态模糊聚类的算法,使用该算法通过Web日志的访问数据构造模糊相似矩阵,很好的解决Web日志中用户聚类和网页聚类的问题,实验表明该方法可行而且具有很好的扩展性。
Web usage mining is widely used in e-commerce and personalized website, etc. Aiming at the problems that users clustering and pages clustering, this article put forths the dynamic fuzzy clustering algorithm, using the algorithm to construct fuzzy similar matrix through access data of the Web logs,which very well solves the problems that user clustering and Web clustering in Web logs. Experiments show that the method is feasible and also has good expansibility.
出处
《微计算机信息》
2011年第12期141-143,共3页
Control & Automation
关键词
模糊聚类
用户聚类
页面聚类
fuzzy clustering
users clustering
pages clustering
