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MINING MAXIMAL WEB ACCESS PATTERNS- A NEW APPROACH

Keywords: Web access pattern , Maximal access patterns , Sequence data base , WAP-Tree methods , Web usage mining

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Abstract:

Web access pattern mining is an application of sequence mining on web log data to generate interesting useraccess behavior on World Wide Web. In this paper we present a new method for the efficient mining of maximal web accesspatterns. The method is a variation of recently published, FOL-Mine (First Occurrence List Mine) [1] for mining web accesspatterns. It is a top-down method that uses the concept of first occurrence to reduce search space and thus improving theperformance

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