Pornography web pages classification with princpal component analysis and independent component analysis
The impressive growth of internet has made a new evolution of human life. Internet is an information superhighway but also the most unsecured place. Web users always need to take the risk for theft of information, spamming, virus threat and mental pollution of harmful resource. The illicit web conte...
Saved in:
Main Authors: | Lee, Zhi Sam, Maarof, Mohd. Aizaini, Selamat, Ali, Shamsuddin, Siti Mariyam |
---|---|
Format: | Book Section |
Language: | English |
Published: |
Penerbit UTM
2008
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/25487/1/MohdAizainiMaarof2008_PornographyWebPagesClassificationWith.pdf http://eprints.utm.my/id/eprint/25487/ http://www.penerbit.utm.my/bookchapterdoc/FSKSM/bookchapter_fsksm01.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated web pages classification with independent component analysis
by: Sam, Lee Zhi, et al.
Published: (2006) -
Pornography web sites classification using principle component analysis with neural network
by: Lee, Zhi Sam, 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) -
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) -
Simulation of pornography web sites (PWS) classification using principal component analysis with neural network
by: Zhi, Sam Lee, et al.
Published: (2008)