A new clustering approach based on graph partitioning for navigation patterns mining

Citation

Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir (2008) A new clustering approach based on graph partitioning for navigation patterns mining. In: 19th International Conference on Pattern Recognition (ICPR 2008), 8-11 Dec. 2008, Tampa, Florida, USA. .

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. For the clustering of user navigation patterns we create an undirected graph based on connectivity between each pair of Web pages and we propose novel formula for assigning weights to edges in such a 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 userpsilas next request in the huge Web sites.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ICPR.2008.4761808
Publisher:	IEEE
Keywords:	User navigation patterns mining; Graph partitioning; User navigation patterns
Depositing User:	Nabilah Mustapa
Date Deposited:	10 Jun 2019 03:44
Last Modified:	10 Jun 2019 03:44
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICPR.2008.4761808
URI:	http://psasir.upm.edu.my/id/eprint/68809
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