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Infotech Education Society Journal

of Science and Technology
                                                  ISSN 2455-4391
Volume 2 Issue 1

Paper Title
To predict next page access by using Web Usage mining approach, K-mean clustering and Markov model
Author Name
Harsh Mathur
Year of Publication
Jan 2018
Volume and Issue
Volume 2 Issue 1
Abstract  
Predicting the next page to be accessed by the Web users has attracted a large amount of research. In this paper, a new web usage mining approach is proposed to predict next page access. It is proposed to identify similar access patterns from web log using K-mean clustering and then Markov model is used for prediction for next page accesses. The tightness of clusters is improved by setting similarity threshold while forming clusters in traditional recommendation models, clustering by non-sequential data decreases recommendation accuracy. In this paper involve incorporating clustering with low order markov model which can improve the prediction accuracy. The main area of research in this paper is pre processing and identification of useful patterns from web data using mining techniques with the help of open source software packages.
PaperID
2018/02/IESJST/1/2
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