Web news classification using neural networks based on PCA

In this paper, we propose a news web page classification method (WPCM). The WPCM uses a neural network with inputs obtained by both the principal components and class profile-based features (CPBF). The fixed number of regular words from each class will be used as a feature vectors with the reduced f...

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Bibliographic Details
Main Authors: Selamat, Ali, Yanagimoto, Hidekazu, Omatu, Sigeru
Format: Conference or Workshop Item
Language:English
Published: 2002
Subjects:
Online Access:http://eprints.utm.my/3089/
http://eprints.utm.my/3089/1/sice02-0163.pdf