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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...
With the popularization of the Internet, it is challenging to develop spam filters that can effectively eliminate the increasing volumes of unwanted mails automatically before they enter a user's mailbox. To efficiently solve the spam filtering problems, a spam mail filtering method based on neighborhood preserving embedding (NPE) and support vector machines (SVM) classifier is proposed in this paper...
With the fast expansion of the Internet globally in the last decade, the spam e-mail has become a main problem of the email service for Internet service providers, corporate and private users. To efficiently solve the spam filtering problems, a spam mail filtering method based on locality pursuit projection (LPP) and nearest feature line (NFL) classifier is proposed in this paper. Experimental results...
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