期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：4
页码：4874-4877
出版社：TechScience Publications
摘要：This paper proposes a web usage mining technique based on HMM (Hidden Markov Model) and fuzzy clustering the advantage of the technique is that it can measure the similarity efficiently among the users on the basis of their browsing characteristics and it also accurately predict the user patterns so the pre-fetching can also be achieved one other advantage over previous techniques that the accessing patterns can be generated on the event basis not on average basis. The simulation results verifies that the proposed model could increase the similarity access up to 90 percentage and prefetching up to 88 percentage when using only 3 percent cache. Keywords-- web usage mining, pre-fetching, fuzzy clustering, HMM (hidden Markov Model).
