Simulation of pornography web sites (PWS) classification using principal component analysis with neural network
The explosive growth of objectionable web content such as pornography, terrorist and violence had been a serious threat for internet users especially children. Recently content analysis based filtering is being introduced to overcome this problem. In term of the promising result to satisfy the...
Saved in:
Main Authors: | Zhi, Sam Lee, Maarof, Mohd. Zaini, Selamat, Ali, Shamsuddin, Siti Mariyam |
---|---|
Format: | Article |
Language: | English |
Published: |
United Kingdom Simulation Society
2008
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/8597/3/ZhiSamLee2008_SimulationofPornographyWebSitesClassification.pdf http://eprints.utm.my/id/eprint/8597/ http://uk.geocities.com/david.aldabass@btinternet.com/IJSSST/Vol-9/No-2/cover.htm |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pornography web sites classification using principle component analysis with neural network
by: Lee, Zhi Sam, et al.
Published: (2007) -
Pornography web pages classification with princpal component analysis and independent component analysis
by: Lee, Zhi Sam, et al.
Published: (2008) -
Pornography web pages classification with textual content analysis using entropy term weighting scheme for small class dataset
by: Sam, Lee Zhi, et al.
Published: (2007) -
Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
by: Sam, Lee Zhi, et al.
Published: (2006) -
Automated web pages classification with independent component analysis
by: Sam, Lee Zhi, et al.
Published: (2006)