Predicting the user navigation pattern from web logs using weighted support approach

<p class="Abstract"><span id="docs-internal-guid-f3d644ee-7fff-d3c1-15b5-f75fe28d3e2d"><span>A weblog contains the history of previous user navigation pattern. If customer accesses any portal organization website, log is generated in web server, based on sequence transaction. The stored server as unstructured format, it both positive and negative responses i.e. successful unsuccessful responses, identifying response not useful for behavior individual user. Initially taken, from that conversion format to structured through data preprocessing technique. process preprocessor three step cleaning, identification session identification. pattern discovered by technique generated. From classifier applied, sub clustering This research identify weblog. Improved Spanning classification algorithm classifies frequent, infrequent semi frequent To optimal webpage using classificatopn thet identified.</span></span></p>