%0 Journal Article
%T MINING MAXIMAL WEB ACCESS PATTERNS- A NEW APPROACH
%A RAJIMOL A and RAJU G.
%J International Journal of Machine Intelligence
%D 2011
%I Bioinfo Publications
%X 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
%K Web access pattern
%K Maximal access patterns
%K Sequence data base
%K WAP-Tree methods
%K Web usage mining
%U http://www.bioinfo.in/uploadfiles/13258354813_4_31_IJMI.pdf