An Efficient Web Prediction Model Using Modified Markov Model with ANN
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 6
Abstract
Web prediction is a classification problem in which we try to predict the preceding set of Web pages in which a user may visit supported on the knowledge of the previously visited pages. While serving the Internet user’s behavior prediction can be applied effectively in various critical applications. Such application has usual tradeoffs between modeling complexity and prediction accuracy. In this paper we proposed artificial neural network (ANN) for predicting web by the user. In addition modified Markov model has been analysed and presented in prediction of web. A prediction framework uses ANN based on the training samples. By doing this the proposed framework shows the improved prediction time without compromising prediction accuracy.
Authors and Affiliations
M. Sivasankari
Keywords
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