DocumentCode
3316622
Title
Study on the Spam-Filtering System based on Feature Selection Mechanism and Improved SVM Classification
Author
Liu, Shouqiang ; Qi, Deyu ; Liu, Bo ; Pan, Chunhua ; Yang, Bo
Author_Institution
Coll. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
Volume
2
fYear
2006
fDate
3-6 Nov. 2006
Firstpage
1143
Lastpage
1146
Abstract
Spam mail is bombing and causing a great problem, while there is still no appropriate counter-measures. After discussing some spam-filtering systems, this paper brings forward a spam-filtering system based on feature selection mechanism and improved SVM classification, system design, realization and evaluation is discussed following. Performance measure and experimental results are proved to outperform other conventional systems
Keywords
information filtering; support vector machines; unsolicited e-mail; feature selection; improved SVM classification; spam mail; spam-filtering system; Bayesian methods; Educational institutions; Electronic mail; Information filtering; Information filters; Knowledge based systems; Postal services; Support vector machine classification; Support vector machines; Text categorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2006 International Conference on
Conference_Location
Guangzhou
Print_ISBN
1-4244-0605-6
Electronic_ISBN
1-4244-0605-6
Type
conf
DOI
10.1109/ICCIAS.2006.295442
Filename
4076138
Link To Document