DocumentCode
3291963
Title
An Email Classification Model Based on Rough Set and Support Vector Machine
Author
Zhu, Zhiqing
Author_Institution
Inf. & Technol. Coll., Hebei Univ. of Econ. & Bus., Shijiazhuang
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
236
Lastpage
240
Abstract
The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a novel approach based on rough set theory and supporter vector machine is proposed to classify emails. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation.
Keywords
mathematics computing; pattern classification; rough set theory; support vector machines; unsolicited e-mail; email classification model; rough set theory; spam; support vector machine; unsolicited messages; Classification algorithms; Costs; Electronic mail; Information systems; Internet; Lagrangian functions; Set theory; Support vector machine classification; Support vector machines; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Jinan Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.658
Filename
4666529
Link To Document