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The growth of World Wide Web is incredible as it can be seen in present days. Users find it very difficult to extract useful and relevant information from the huge amount of information. The problems can be solved by Web Usage Mining which involves preprocessing, pattern discovery and pattern analysis. Preprocessing is an important process which converts raw web log data into transactions. Application of mining techniques to group user's behavior for personalization is effectively done on transactions constructed from sessions. Sessionization is the identification of sessions and is defined as a set of pages visited by the same user within the duration of one particular visit to a web-site.
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