An Efficient Spam Filtering Algorithm Based on NPE

Author

Wang, Ziqiang ; Sun, Xia

Author_Institution

Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou

fYear

2008

Firstpage

1102

Lastpage

1104

Abstract

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. Experimental results show that the proposed algorithm outperforms other related spam filtering methods.

Keywords

Internet; e-mail filters; pattern classification; support vector machines; unsolicited e-mail; Internet; efficient spam filtering algorithm; neighborhood preserving embedding; support vector machine; user mailbox; Filtering algorithms; Information filtering; Information filters; Large scale integration; Linear discriminant analysis; Postal services; Principal component analysis; Support vector machine classification; Support vector machines; Unsolicited electronic mail; neighborhood preserving embedding; spam filtering; support vector machine; text categorization;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810686

Filename

4810686