Neural networks for web news classification based on augmented 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 profilebased features (CPBF). Each news web page is represented by the term-weighting scheme. As the number of unique words in the co...
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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2003
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/3123/1/IJCNN2003.pdf http://eprints.utm.my/id/eprint/3123/ http://ieeexplore.ieee.org/iel5/8672/27485/01223679.pdf |
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