Research on web log mining based on OLAP

被引：0
作者：
Zhang, XB [1 ]
机构：
[1] HangZhou Univ Commerce, Coll Informat & Elect Engn, Hangzhou 310035, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON ELECTRONIC COMMERCE ENGINEERING: DIGITAL ENTERPRISES AND NONTRADITIONAL INDUSTRIALIZATION | 2003年
关键词：
data mining; knowledge representation; Web Log Mining; OLAP;
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：
Since more and more applications based on EC are widely used, a massive amount of data is gathered by Web servers in the form of Web access logs. This is a rich source of information for understanding Web user surfing behavior. Web. Log Mining. is an application of data mining algorithms to Web access logs to find trends and regularities in Web users' traversal patterns. This paper presents the research on web log mining based on OLAP. First we analyze the structure of Web Log. then study the trends and access patterns of the users, finally build the multi-dimensional cube based on OLAP. Through the web log mining. we can draw a conclusion to improve business and marketing decision support. user profiling. and Web server system performance.
引用
收藏
页码：489 / 491
页数：3
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