Popularity of WWW increasing day by day which results in the increase of web based services , due to which web is now largest data repository. In order to handle this incremental nature of data various prediction techniques are used. If the prefetched pages are not visited by user in their subsequent access there will be wastage network bandwidth as it is in limited amount. So there is critical requirement of accurate prediction method. As the data present on web is heterogeneous in nature and incremental in nature, during the pre-processing step hierarchical clustering technique is used. Then using Markov model category and page prediction is done and lastly page filtering is done using keywords.