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  • 标题:Improve Heuristics for User Session Identification through Web Server Log in Web Usage Mining
  • 本地全文:下载
  • 作者:Priyanka Patel ; Mitixa Parmar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:3
  • 页码:3562-3565
  • 出版社:TechScience Publications
  • 摘要:In the web servers, log repositories plays a key role as it keeps record of user pattern for different users and thus it is great source of knowledge. Web Usage Pattern is process of getting the web user browsing patterns by analyzing their navigational behavior. A modern process of identifying a web user session is the average time spent by user on pages. The time spent by user on web site is taken with high importance in this paper. To get the clusters of session we applied rough set clustering method. With the combination of statistical result and importance degree of page the initial time out is calculated. After that for user session identification session timeout is dynamically adjusted. Fixed value of session time may not give accurate user sessions and so here average user time spent by user on web site is considered. Web user logs contain all details about user behavior and accurate user session will give more accurate user navigation behavior or pattern.
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