Cart (Loading....) | Create Account
Close category search window
 

Features extraction for illicit web pages identifications using independent component analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Lee Zhi Sam ; Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Sukdai ; bin Maarof, M.A. ; Selamat, A. ; Shamsuddin, S.M.

The illicit Web content such as pornography, violence, gambling, etc. have greatly polluted the mind of immature web users. Pornography perhaps is one of the biggest threats related to current childrenpsilas and teenagerspsila healthy mental life. A proper way to identify illicit web pages efficiently is highly desired. In this paper, we analyze the textual content of web pages such as pornography, gynecology, sex education and general business news using independent component analysis (ICA) algorithm. We establish three similar models which are principal component analysis (PCA) model, ICA model and PCA-ICA model as comparison. We evaluate the effectiveness of these proposed models using information retrieval measurement such as precision, recall, F1 and accuracy. Our experiment result shown that PCA and PCA-ICA models are capable to identify illicit web pages correctly with overall performance above than 90%. The idea of this research would give researchers an insight into textual content-based for web pages categorization.

Published in:

Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on

Date of Conference:

25-28 Nov. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.