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Automated web pages classification with independent component analysis

Automated web pages classification becomes an essential tool to reduce the manpower and time consuming for manually categorize web pages. In this paper, we propose a new method of web page classification which uses the output vector of Independent Component Analysis (ICA) and Class Profile Based Fea...

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Main Authors: Sam, Lee Zhi, Maarof, Mohd. Aizaini, Selamat, Ali
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/3131/1/Sam-PARS06.pdf
http://eprints.utm.my/id/eprint/3131/
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spelling my.utm.31312010-06-01T03:07:31Z http://eprints.utm.my/id/eprint/3131/ Automated web pages classification with independent component analysis Sam, Lee Zhi Maarof, Mohd. Aizaini Selamat, Ali QA76 Computer software Automated web pages classification becomes an essential tool to reduce the manpower and time consuming for manually categorize web pages. In this paper, we propose a new method of web page classification which uses the output vector of Independent Component Analysis (ICA) and Class Profile Based Feature (CPBF) as input for ANN to do classification. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/3131/1/Sam-PARS06.pdf Sam, Lee Zhi and Maarof, Mohd. Aizaini and Selamat, Ali (2006) Automated web pages classification with independent component analysis. In: Proceedings of the Postgraduate Annual Research Seminar 2006, 24-25 May 2006, Faculty of Computer Science & Information Systems, UTM.
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
Sam, Lee Zhi
Maarof, Mohd. Aizaini
Selamat, Ali
Automated web pages classification with independent component analysis
description Automated web pages classification becomes an essential tool to reduce the manpower and time consuming for manually categorize web pages. In this paper, we propose a new method of web page classification which uses the output vector of Independent Component Analysis (ICA) and Class Profile Based Feature (CPBF) as input for ANN to do classification.
format Conference or Workshop Item
author Sam, Lee Zhi
Maarof, Mohd. Aizaini
Selamat, Ali
author_facet Sam, Lee Zhi
Maarof, Mohd. Aizaini
Selamat, Ali
author_sort Sam, Lee Zhi
title Automated web pages classification with independent component analysis
title_short Automated web pages classification with independent component analysis
title_full Automated web pages classification with independent component analysis
title_fullStr Automated web pages classification with independent component analysis
title_full_unstemmed Automated web pages classification with independent component analysis
title_sort automated web pages classification with independent component analysis
publishDate 2006
url http://eprints.utm.my/id/eprint/3131/1/Sam-PARS06.pdf
http://eprints.utm.my/id/eprint/3131/
_version_ 1643643743058788352
score 13.149126

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