Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy

In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by We...

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Main Authors: Siriporn, Chimphlee, Salim, Naomie, Ngadiman, Mohd. Salihin, Witcha, Chimphlee, Surat, Srinoy
Format: Conference or Workshop Item
Language:English
Published: 2006
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Online Access:http://eprints.utm.my/id/eprint/3181/1/B-06_DrSalihin-Madrid.pdf
http://eprints.utm.my/id/eprint/3181/
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Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.3181
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spelling my.utm.31812017-08-24T03:57:08Z http://eprints.utm.my/id/eprint/3181/ Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy Siriporn, Chimphlee Salim, Naomie Ngadiman, Mohd. Salihin Witcha, Chimphlee Surat, Srinoy QA76 Computer software In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers. A challenge in web classification is how to deal with the high dimensionality of the feature space. In this paper we present Independent Component Analysis (ICA) for feature selection and using Rough Fuzzy for clustering web user sessions. Our experiments indicate can improve the predictive performance when the original feature set for representing web log is large and can handling the different groups of uncertainties/impreciseness accuracy. 2006-02 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/3181/1/B-06_DrSalihin-Madrid.pdf Siriporn, Chimphlee and Salim, Naomie and Ngadiman, Mohd. Salihin and Witcha, Chimphlee and Surat, Srinoy (2006) Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy. In: procedings of the 5th WSEAS International Conference on, 15-17 february 2006, Masrid, Spain..
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Siriporn, Chimphlee
Salim, Naomie
Ngadiman, Mohd. Salihin
Witcha, Chimphlee
Surat, Srinoy
Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
description In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers. A challenge in web classification is how to deal with the high dimensionality of the feature space. In this paper we present Independent Component Analysis (ICA) for feature selection and using Rough Fuzzy for clustering web user sessions. Our experiments indicate can improve the predictive performance when the original feature set for representing web log is large and can handling the different groups of uncertainties/impreciseness accuracy.
format Conference or Workshop Item
author Siriporn, Chimphlee
Salim, Naomie
Ngadiman, Mohd. Salihin
Witcha, Chimphlee
Surat, Srinoy
author_facet Siriporn, Chimphlee
Salim, Naomie
Ngadiman, Mohd. Salihin
Witcha, Chimphlee
Surat, Srinoy
author_sort Siriporn, Chimphlee
title Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
title_short Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
title_full Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
title_fullStr Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
title_full_unstemmed Mining Usage Web Log Via Independent Component Analysis And Rough Fuzzy
title_sort mining usage web log via independent component analysis and rough fuzzy
publishDate 2006
url http://eprints.utm.my/id/eprint/3181/1/B-06_DrSalihin-Madrid.pdf
http://eprints.utm.my/id/eprint/3181/
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