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Document classification has attracted increasing attention recently as a result of the ever-increasing amounts of document data on the Internet. In this paper, an efficient document classification algorithm is proposed by combining the ideas of maximum margin criterion (MMC) and minimax probability machine (MPM). Experimental results on three well-known benchmark document datasets demonstrate the...
To efficiently deal with spam mail filtering problem, a novel spam filtering algorithm based on locality pursuit projection (LPP) and least square version of SVM(LS-SVM) is proposed in this paper. The mail message features are first extracted by the LPP algorithm, then the LS-SVM classifier is used to classify mails into spam and legitimate. Experimental results demonstrate that the proposed algorithm...
The amount of online document has grown greatly in recent years due to the increase in popularity of the World Wide Web. Thus, developing an efficient document classification method to automatically manipulate Web document is of great importance. A novel memetic algorithm (MA)-based document classification algorithm is presented in this paper. The experimental results show that the proposed algorithm...
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