Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
With the explosive growth of internet, web pages classification has become an essential issue. This is because web pages classification will provide an efficient information search to internet users. Without professional classification, a website would become a jumble yard of content which is confus...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/3129/1/F__PDF_ICOMMS-108.pdf |
| _version_ | 1796853523156041728 |
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| author | Sam, Lee Zhi Maarof, Mohd. Aizaini Selamat, Ali |
| author_facet | Sam, Lee Zhi Maarof, Mohd. Aizaini Selamat, Ali |
| author_sort | Sam, Lee Zhi |
| collection | ePrints |
| description | With the explosive growth of internet, web pages classification has become an essential issue. This is because web pages classification will provide an efficient information search to internet users. Without professional classification, a website would become a jumble yard of content which is confusing and time wasting. By using web pages classification, it allows web visitors to navigate a web site quickly and efficiently. However, presently most of the web directories are still being classified manually or using semi-automated (huge teams of human editors)[1]. Automated web pages classification is highly in demand in order to replace expensive manpower and reduce the time consumed. In this paper we analyze the concept of a new model, which uses an integration of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as feature reduction for web pages classification. This model consists of several modules, which are web page retrieval process, stemming, stop-word filtering, feature reduction, feature selection, classification and evaluation. |
| first_indexed | 2024-03-05T18:00:47Z |
| format | Conference or Workshop Item |
| id | utm.eprints-3129 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:00:47Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | utm.eprints-31292017-09-30T04:28:05Z http://eprints.utm.my/3129/ Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction Sam, Lee Zhi Maarof, Mohd. Aizaini Selamat, Ali QA76 Computer software With the explosive growth of internet, web pages classification has become an essential issue. This is because web pages classification will provide an efficient information search to internet users. Without professional classification, a website would become a jumble yard of content which is confusing and time wasting. By using web pages classification, it allows web visitors to navigate a web site quickly and efficiently. However, presently most of the web directories are still being classified manually or using semi-automated (huge teams of human editors)[1]. Automated web pages classification is highly in demand in order to replace expensive manpower and reduce the time consumed. In this paper we analyze the concept of a new model, which uses an integration of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as feature reduction for web pages classification. This model consists of several modules, which are web page retrieval process, stemming, stop-word filtering, feature reduction, feature selection, classification and evaluation. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/3129/1/F__PDF_ICOMMS-108.pdf Sam, Lee Zhi and Maarof, Mohd. Aizaini and Selamat, Ali (2006) Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction. In: Proceedings of International Conference on Man-Machine Systems 2006, September 15-16 2006, Langkawi, Malaysia. http://icomms.unimap.edu.my/index.htm |
| spellingShingle | QA76 Computer software Sam, Lee Zhi Maarof, Mohd. Aizaini Selamat, Ali Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction |
| title | Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
|
| title_full | Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
|
| title_fullStr | Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
|
| title_full_unstemmed | Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
|
| title_short | Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
|
| title_sort | automated web pages classification with integration of principal component analysis pca and independent component analysis ica as feature reduction |
| topic | QA76 Computer software |
| url | http://eprints.utm.my/3129/1/F__PDF_ICOMMS-108.pdf |
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