Universiti Teknologi Malaysia Institutional Repository

Rough Sets Clustering and Markov model for Web Access Prediction

Chimphlee , Siriporn and Salim , Naomie and Ngadiman , Mohd Salihin and Chimphlee , Witcha and Srinoy, Surat (2006) Rough Sets Clustering and Markov model for Web Access Prediction. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 Mei 2006, Postgraduate Studies Department FSKSM, UTM Skudai.

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Abstract

Discovering user access patterns from web access log is increasing the importance of information to build up adaptive web server according to the individual user’s behavior. The variety of user behaviors on accessing information also grows, which has a great impact on the network utilization. In this paper, we present a rough set clustering to cluster web transactions from web access logs and using Markov model for next access prediction. Using this approach, users can effectively mine web log records to discover and predict access patterns. We perform experiments using real web trace logs collected from www.dusit.ac.th servers. In order to improve its prediction ration, the model includes a rough sets scheme in which search similarity measure to compute the similarity between two sequences using upper approximation.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Rough sets, Markov model, Prediction
Subjects:H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:3370
Deposited By: Mrs Rozilawati Dollah @ Md Zain
Deposited On:24 May 2007 00:48
Last Modified:01 Jun 2010 03:09

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