A Web Usage Mining Approach to User  Navigation Pattern and Prediction in Web  Log Data

SUJATHA PADMAKUMAR; Dr.PUNITHAVALLI; Dr.RANJITH

Volume : III, Issue : IV, April - 2014

A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

Sujatha Padmakumar, Dr. Punithavalli, Dr. Ranjith

Abstract :

Web Usage Mining (WUM) are specifically designed to carry out the user navigation pattern in web log files Organizations collect large volumes of data in their daily operations, generated automatically by web servers and collected in server access logs and this task is used for analyzing the data representing usage data and to predict the future movements. The improved pairwise nearest neighbour algorithm is used to group the potential clusters and the maximum likelihood classification algorithm is to predict users� future requests. The Experimental results the quality of clustering for user navigation pattern in web usage mining and for the prediction of users next request.