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Web user navigation pattern mining approach based on graph partitioning algorithm.


Citation

Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir (2008) Web user navigation pattern mining approach based on graph partitioning algorithm. Journal of Theoretical and Applied Information Technology, 4 (11). pp. 1125-1130. ISSN 1992-8645; E-ISSN 1817-3195

Abstract

We present a study of the web based user navigation patterns mining and propose a novel approach for clustering of user navigation patterns. The approach is based on the graph partitioning for modeling user navigation patterns. In order to mining user navigation patterns, we establish an undirected graph based on connectivity between each pair of the web pages. Moreover, we propose novel formula for assigning weights to edges of the graph. The experimental results represent that the approach can improve the quality of clustering for user navigation pattern in web usage mining systems. These results can be use for predicting user's next request in the huge web sites.


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Additional Metadata

Item Type: Article
Subject: Web usage mining.
Subject: Web usage mining - Computer programs.
Subject: Computer algorithms.
Divisions: Faculty of Computer Science and Information Technology
Publisher: Asian Research Publishing Network (ARPN)
Keywords: Web usage mining; User navigation pattern; Clustering; Graph partitioning.
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 02 Jul 2013 01:28
Last Modified: 20 Oct 2015 01:41
URI: http://psasir.upm.edu.my/id/eprint/17631
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