IMPROVING EFFICIENCY OF WEB PAGE PREDICTION SYSTEM BY ENHANCEMENT CLUSTERING BASED MARKOV MODEL

ABSTRACT

This research represents complete prediction accuracy by making group of data set sessions into clusters & minimizes web latency time. Web pages in user sessions are usually allocated into categories according to meaningful Web services. K-means clustering algorithm is generally implemented using appropriate number of clusters. In case of k-mean clustering the nearest data points are clustered. Here in this research paper the attempt has been made to predict the web services required by web user. Prediction techniques are usually applied using each cluster.

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