Classification of illicit web pages using neural network
The illicit web contents such as pornography, violence, gambling, etc, have greatly polluted the mind of web users especially children and teenagers. Due to some popular web filtering techniques like Uniform Resource Locator (URL) blocking and Platform for Internet Content Selection (PICS) checking...
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit UTM Press
2007
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/8178/1/MohdAizainiMaarof2007_CLassificationofIllicitWebPagesUsingNeural.pdf |
| _version_ | 1825910159252127744 |
|---|---|
| author | Lee, Zhi Sam Aizani, Mohd. Selamat, Ali Shamsuddin, Siti Mariyam |
| author_facet | Lee, Zhi Sam Aizani, Mohd. Selamat, Ali Shamsuddin, Siti Mariyam |
| author_sort | Lee, Zhi Sam |
| collection | ePrints |
| description | The illicit web contents such as pornography, violence, gambling, etc, have greatly polluted the mind of web users especially children and teenagers. Due to some popular web filtering techniques like Uniform Resource Locator (URL) blocking and Platform for Internet Content Selection (PICS) checking are limited against today dynamic web content, hence content based analysis techniques with effective model are highly desired In this paper we propose textual content analysis model using entropy term weighting scheme to classify pornography and sex education web pages. We examine the entropy scheme with two other common term weighting schemes which are TFIDF and Glasgow. Those techniques are examined extensively with artificial neural network using small class dataset. In this study, we found that our proposed model archive better performance from the aspects of accuracy, convergence speed and stability. |
| first_indexed | 2024-03-05T18:12:52Z |
| format | Article |
| id | utm.eprints-8178 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:12:52Z |
| publishDate | 2007 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-81782017-11-01T04:17:25Z http://eprints.utm.my/8178/ Classification of illicit web pages using neural network Lee, Zhi Sam Aizani, Mohd. Selamat, Ali Shamsuddin, Siti Mariyam ZA4050 Electronic information resources ZA4450 Databases The illicit web contents such as pornography, violence, gambling, etc, have greatly polluted the mind of web users especially children and teenagers. Due to some popular web filtering techniques like Uniform Resource Locator (URL) blocking and Platform for Internet Content Selection (PICS) checking are limited against today dynamic web content, hence content based analysis techniques with effective model are highly desired In this paper we propose textual content analysis model using entropy term weighting scheme to classify pornography and sex education web pages. We examine the entropy scheme with two other common term weighting schemes which are TFIDF and Glasgow. Those techniques are examined extensively with artificial neural network using small class dataset. In this study, we found that our proposed model archive better performance from the aspects of accuracy, convergence speed and stability. Penerbit UTM Press 2007-12 Article PeerReviewed application/pdf en http://eprints.utm.my/8178/1/MohdAizainiMaarof2007_CLassificationofIllicitWebPagesUsingNeural.pdf Lee, Zhi Sam and Aizani, Mohd. and Selamat, Ali and Shamsuddin, Siti Mariyam (2007) Classification of illicit web pages using neural network. Jurnal Teknologi Maklumat, 19 (2). pp. 1-21. ISSN 0128-3790 |
| spellingShingle | ZA4050 Electronic information resources ZA4450 Databases Lee, Zhi Sam Aizani, Mohd. Selamat, Ali Shamsuddin, Siti Mariyam Classification of illicit web pages using neural network |
| title | Classification of illicit web pages using neural network |
| title_full | Classification of illicit web pages using neural network |
| title_fullStr | Classification of illicit web pages using neural network |
| title_full_unstemmed | Classification of illicit web pages using neural network |
| title_short | Classification of illicit web pages using neural network |
| title_sort | classification of illicit web pages using neural network |
| topic | ZA4050 Electronic information resources ZA4450 Databases |
| url | http://eprints.utm.my/8178/1/MohdAizainiMaarof2007_CLassificationofIllicitWebPagesUsingNeural.pdf |
| work_keys_str_mv | AT leezhisam classificationofillicitwebpagesusingneuralnetwork AT aizanimohd classificationofillicitwebpagesusingneuralnetwork AT selamatali classificationofillicitwebpagesusingneuralnetwork AT shamsuddinsitimariyam classificationofillicitwebpagesusingneuralnetwork |