首页    期刊浏览 2024年07月06日 星期六
登录注册

文章基本信息

  • 标题:A Proposed Method to Personalize and Extract the Hidden Knowledge Through Web Usage Mining and Pattern Discovery
  • 本地全文:下载
  • 作者:Ruchika Kalal ; Manish Tiwari
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:9
  • 页码:7528-7533
  • DOI:10.15680/IJIRCCE.2018. 0609008
  • 出版社:S&S Publications
  • 摘要:The research on WWW and associative algorithms and models has shown that WWW has grown beyond the expectation. Moreover, the development of Internet technology the growth of World Wide Web exceeded all expectations. A lot of information is available in different formats and retrieving content has become a very difficult task. Google today, however has used the best possible approach to solve in retrieving contents as and when required. But, again Google despite of its own powerful tool Search Engine Optimization (SEO) has failed in solving the issues of problems in Web Usage Mining (WUM).Web mining is the application of data mining on web data and web usage mining is an important component of web mining. The goal of web usage mining is to understand the behaviour of web site users through the process of data mining of web data and Web usage mining is to understand the behaviour of web site users through the process of data mining of web Access data.
国家哲学社会科学文献中心版权所有