MINING MAXIMAL WEB ACCESS PATTERNS- A NEW APPROACH

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