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作者:

Shan, Xiaohong (Shan, Xiaohong.) | Sun, Huamei (Sun, Huamei.)

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摘要:

When accessing websites, users usually leave a lot of access information, which can be mined reasonably to help the managers of website to get accessing patterns of users. This article first introduces the preprocessing procedure of web logs, which includes the tasks of data cleaning, Data Discretization and their implementation. On the basis of preprocessing the analysis method of requested resource 'URL' and 'referrer' which is the webpage before users browse the URL in web log by the use of association rules is proposed to find the accessing patterns of users. Finally the experiment is accomplished. The result shows that the method is feasible, and it can help the manager in making decisions about the analysis of website users' behavior and the optimization of website. © 2011 IEEE.

关键词:

Association rules Blogs Managers Websites

作者机构:

  • [ 1 ] [Shan, Xiaohong]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 2 ] [Sun, Huamei]School of Management, Harbin University of Technology, Harbin, China

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年份: 2011

页码: 7415-7418

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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