Abstract
WWW is a large amount of information provider and a very big source of information. Users are increasing every day for accessing web sites. For efficient and effective handling, web mining coupled with suggestion techniques provides personalized contents at the disposal of users. Web Mining is an area of Data Mining dealing with the extraction of interesting knowledge from the Web. Here we are presenting a comprehensive overview of the personalization process based on Web usage mining. In this a host of Web usage mining activities required for this process, including the pre-processing and integration of data from multiple sources, and common pattern discovery techniques that are applied to the integrated usage data.
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