Improved approach to predict user future sessions using classification and clustering

With the huge quantity of information which is available on internet that makes it challenging for providers to make such relevant information available to users in a fast and personalized manner. One way to tackle with this challenging issue is to use a recommendation technique, which can make visitors to discover further offerings. Web usage mining is the key process of extracting knowledge of user access pattern from web servers. This paper presents the combination of the classification and clustering techniques to predict user future movements.