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  • 标题:An Implementation of Web Personalization using Web Mining Techniques
  • 本地全文:下载
  • 作者:Kannan Subramanian ; Suresh Babu .G.N.K
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:3879
  • DOI:10.15680/IJIRSET.2015.0405191
  • 出版社:S&S Publications
  • 摘要:Web mining is the application of data mining techniques to extract knowledge from web. Web mining has been explored to a vast degree and different techniq ues have been proposed for a variety o f applications that includes "web search ", classification and personalization etc. Most research on web mining has been from ma .data-centric. point of view. In its paper, we highlight the signifance of studying the evolving nature o f the web personalization. Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving web sites/pages, mak ing additional topic or product recommendations, user/customer behavior studies, etc. a web usage mining system performs five major tasks. i) D ata Gathering, ii) Data Preparation, iii) Navigation Pattern Discovery, iv) Pattern Analysis and Visualization and v) Pattern Applications. Each task is explained in detail and its related technologies are introduced. The web mining research is a converging research area from several research communities, such as databases, information retrieval, and artificial intelligence. In this paper we implement ho w web mining techniques can be apply for the custo mization. i.e., Web personalization.
  • 关键词:Usage Mining; Navigation Patterns; Pattern Analysis; Content Mining; Structure Mining.
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