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- W2381873188 abstract "To efficiently solve Web document classification problem,a novel document classification algorithm based on kernel discriminant analysis(KDA) and SVM was proposed.The proposed algorithm firstly reduced the high dimensional Web document space in the training sets to the lower dimensional space with KDA algorithm,then the classification and predication in the lower dimensional feature space were implemented with the multiplicative update-based optimal SVM.The experimental evaluations were performed on the Reuters-21578 and 20-Newsgroup which are two well-known data sets in the field of document classification.Experimental results show that the proposed algorithm not only achieves higher classification accuracy,but also has lower running time." @default.
- W2381873188 created "2016-06-24" @default.
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- W2381873188 date "2009-01-01" @default.
- W2381873188 modified "2023-09-24" @default.
- W2381873188 title "Document classification algorithm based on KDA and SVM" @default.
- W2381873188 hasPublicationYear "2009" @default.
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