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

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 g...

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Main Authors: Jalali, Mehrdad, Mustapha, Norwati, Mamat, Ali, Sulaiman, Md. Nasir
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/68809/1/A%20new%20clustering%20approach%20based%20on%20graph%20partitioning%20for%20navigation%20patterns%20mining.pdf
http://psasir.upm.edu.my/id/eprint/68809/
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spelling my.upm.eprints.688092019-06-10T03:44:10Z http://psasir.upm.edu.my/id/eprint/68809/ A new clustering approach based on graph partitioning for navigation patterns mining Jalali, Mehrdad Mustapha, Norwati Mamat, Ali Sulaiman, Md. Nasir 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. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68809/1/A%20new%20clustering%20approach%20based%20on%20graph%20partitioning%20for%20navigation%20patterns%20mining.pdf 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. . 10.1109/ICPR.2008.4761808
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Conference or Workshop Item
author Jalali, Mehrdad
Mustapha, Norwati
Mamat, Ali
Sulaiman, Md. Nasir
spellingShingle Jalali, Mehrdad
Mustapha, Norwati
Mamat, Ali
Sulaiman, Md. Nasir
A new clustering approach based on graph partitioning for navigation patterns mining
author_facet Jalali, Mehrdad
Mustapha, Norwati
Mamat, Ali
Sulaiman, Md. Nasir
author_sort Jalali, Mehrdad
title A new clustering approach based on graph partitioning for navigation patterns mining
title_short A new clustering approach based on graph partitioning for navigation patterns mining
title_full A new clustering approach based on graph partitioning for navigation patterns mining
title_fullStr A new clustering approach based on graph partitioning for navigation patterns mining
title_full_unstemmed A new clustering approach based on graph partitioning for navigation patterns mining
title_sort new clustering approach based on graph partitioning for navigation patterns mining
publisher IEEE
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/68809/1/A%20new%20clustering%20approach%20based%20on%20graph%20partitioning%20for%20navigation%20patterns%20mining.pdf
http://psasir.upm.edu.my/id/eprint/68809/
_version_ 1643839312753590272
score 13.211869

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