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- W2392185524 abstract "With the rapid development of Internet,the need of correctly Web page classification is becoming more and more critical.The major problem in Web page classification is the high dimensionality of feature space.The Support Vector Machine classifier is shown to perform better than other Web page classification algorithms.However,the time taken for training a Support Vector Machine model is more than other algorithms.A feature selection method based on the most certainly keyword to predict the category of a Web page was proposed.Through the experimental of Chinese text,the results show that this method reduces the training time,while maintaining the accuracy of Web page classification." @default.
- W2392185524 created "2016-06-24" @default.
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- W2392185524 date "2011-01-01" @default.
- W2392185524 modified "2023-09-23" @default.
- W2392185524 title "A New Feature Selection Method in SVM Web Page Classification" @default.
- W2392185524 hasPublicationYear "2011" @default.
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