A Survey of Web Usage Mining Based on Fuzzy Clustering and HMM

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Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Web usage mining is a kind of data mining method that can be useful in recommending the web usage patterns with the help of users' session and behavior. Web usage mining includes three process, namely, preprocessing, pattern discovery and pattern analysis. There are different techniques already exists for web usage mining. Those existing techniques have their own advantages and disadvantages. This paper presents a survey of over 34 research papers dealing with Web usage Mining technique based on fuzzy clustering and HMM (Hidden Markov Model) 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.
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