首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:An Improved User Browsing Behavior Prediction Using Web Log Analysis
  • 本地全文:下载
  • 作者:Vedpriya Dongre ; Jagdish Raikwal
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:1838-1842
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Web usage mining is widely used to discover the usage patterns from web log files. It deals with web log data which are taken from web servers, proxy server or client's cache. By analyzing user's browsing behavior, next web page prediction can be made. Various types of mining algorithms proposed over the years based on different techniques. But prediction of future request of the user mainly concern with its accuracy and efficiency. This survey describes various aspects of Web mining techniques and various issues related to Web usage mining. Along with it, a proposed work is there which addresses some of the core issues of Prediction techniques along with their solutions.
  • 关键词:Web Usage Mining; Personalization; ; Recommendation; Clustering
国家哲学社会科学文献中心版权所有