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  • 标题:Comprehensive Analysis of Web Log Files for Mining
  • 本地全文:下载
  • 作者:Vikas Verma ; A. K. Verma ; S. S. Bhatia
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:World Wide Web is a global village and rich source of information. Day by day number of web sites and its users are increasing rapidly. Information extracted from WWW may sometimes do not turn up to desired expec-tations of the user. A refined approach, referred as Web Mining, which is an area of Data Mining dealing with the extraction of interesting knowledge from the World Wide Web, can provide better result. While surfing the web sites, users interactions with web sites are recorded in web log file. These Web Logs are abundant source of information. Such logs when mined properly can provide useful information for decision making. Mining of these Web Logs is referred to as Web Log Mining. This paper analyses web log data of NASA of the month of August 1995 of 15.8MB and depicts certain behavioral aspects of users using web log mining.
  • 关键词:Web Mining; Data Mining; Web Log Mining
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