首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Fuzzy Clustering: An Approachfor Mining Usage Profilesfrom Web
  • 本地全文:下载
  • 作者:Archana N. Boob ; Prof. D. M. Dakhane
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:1
  • 页码:329-331
  • 出版社:Technopark Publications
  • 摘要:Web usage mining is an application of data mining technology to mining the data of the web server log file. It can discover the browsing patterns of user and some kind of correlations between the web pages. Web usage mining provides the support for the web site design, providing personalization server and other business making decision, etc. Web mining applies the data mining, the artificial intelligence and the chart technology and so on to the web data and traces users' visiting characteristics, and then extracts the users' using pattern.In this paper, we present an approach to cluster Web site users into different groups. By using fuzzy clustering, we enable generation of overlapping clusters that can capture the uncertainty among Web user’s navigation behaviour
  • 关键词:Web mining; clustering; fuzzy clustering; and personalization.
国家哲学社会科学文献中心版权所有