Investigating the PageRank and sequence prediction based approaches for next page prediction

Discovering unseen patterns from web clickstream is an upcoming research area. One of the meaningful approaches for making predictions using sequence prediction that typically improved compact tree (CPT+). However, to increase this method's effectiveness, combining it with at least other methods necessary. This work investigates such PageRank-based related as All-K-Markov, DG, Markov 1st, CPT, CPT+. The experimental results proved integration CPT+ and PageRank right solution next page in terms accuracy, which more than a standard method approximately 0.0621%. Still, size newly created database reduced up 35%. Furthermore, our proposed has accuracy much higher ones. It intriguing phase (testing one) make time performance.