Clustering web users based on the accessing time and web site's hierarchy

被引：0
|
作者：
Yuan, F [1 ]
Wang, LJ [1 ]
Wang, XZ [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110006, Liaoning, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
data mining; web mining; clustering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid development of Web site, it becomes more and more important for Web master to cluster Web users. By clustering Web user, we can analyze user's interest and know what is user's need so that provide them better personal service. At the same time, we are able to optimize the Web site's hierarchy and attract more and more users. This paper presents a new clustering algorithm, which is based on the accessing time and the Web site's hierarchy. Experiments show this algorithm has a better performance compared to traditional algorithms, which are based on only whether or not users have accessed the Web site, or only accessing time.
引用
收藏
页码：1842 / 1845
页数：4
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