Web Log Mining based on Website Topic

被引：0

作者：

Yu, Xiaobing ^{[1
]}

Guo, Shunsheng ^{[1
]}

Peng, Zhao ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China

来源：

SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III: UNLOCKING THE FULL POTENTIAL OF GLOBAL TECHNOLOGY | 2008年

关键词：

web log; data mining; algorithm; e-commerce;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

With rapid growth of Internet/Intranet, web log mining has become one of research center for web data mining, especially for e-commerce field. The web log mining procedure is given. The page discusses website topic static importance degree matrix from website designer and topic dynamic importance degree matrix gotten from user access. Through them, topic comprehensive importance degree matrix is obtained and mining model is established. Experiment data shows that the model is effective.

引用

页码：874 / 878

页数：5

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