Using LPP and LS-SVM For Spam Filtering

被引：4

作者：

Sun, Xia ^{[1
]}

Zhang, Qingzhou ^{[1
]}

Wang, Ziqiang ^{[1
]}

机构：

[1] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450000, Peoples R China

来源：

2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL II | 2009年

关键词：

spam filtering; locality pursuit projection (LPP); LS-SVM; text classification;

D O I：

10.1109/CCCM.2009.5267466

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 UP algorithm, then the LS-SVM classifier is used to classify mails into spam and legitimate. Experimental results demonstrate that the proposed algorithm performs much better than other related spam filtering algorithms.

引用

页码：451 / 454

页数：4

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