Universiti Teknologi Malaysia Institutional Repository

Pornography web sites classification using principle component analysis with neural network

Lee, Zhi Sam and Maarof, Mohd. Aizaini and Selamat, Ali and Shamsuddin, Siti Mariyam (2007) Pornography web sites classification using principle component analysis with neural network. In: Malaysia-Japan International Symposium on Advanced Technology 2007 (MJISAT 2007), 2007, Kuala Lumpur.

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Abstract

Internet users have begun to protect themselves and their wards by using so-called web content filters, which allow access to legitimate content and block access to objectionable, illegal, and otherwise harmful content. Next to active filtering technologies, which use heuristics, machine learning and similar techniques from the area of text and image classification to analyze web pages, there is the complementary category of passive content filters, which rely on (mostly voluntary) content rating systems to classify web pages.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Malaysia-Japan International Symposium on Advanced Technology 2007 (MJISAT 2007), Kuching, Sarawak
Uncontrolled Keywords:Pornography web sites classification, principle component analysis, network
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:14360
Deposited By: Liza Porijo
Deposited On:24 Aug 2011 07:23
Last Modified:06 Aug 2017 04:33

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