Title :
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
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;
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
DOI :
10.1109/KAMW.2008.4810686
