摘要
文章提出了一种基于ISODATA的用户访问路径聚类算法,根据用户的访问兴趣定义了相似性测量手段和聚类中心。在对Web站点的访问日志进行事务识别后,根据群体用户对Web站点的访问顺序进行聚类,则每一个聚类集反映出该聚类集中的全体用户具有相似的访问兴趣。
In this paper, a method to resolve user access clustering with ISODATA is provided. According to the requirement of the clustering, the new method is used to measure similarity and to get the center of a cluster. After processing the Log in the Web site and identifying each user access transaction, the access paths of all the users can be clustered. Then each cluster can then represent the similar access interest of the users in the cluster.
出处
《微电子学与计算机》
CSCD
北大核心
2006年第8期91-93,共3页
Microelectronics & Computer
基金
国家"863"计划项目(2003AA209021)
