Title :
An Email Classification Model Based on Rough Set and Support Vector Machine
Author_Institution :
Inf. & Technol. Coll., Hebei Univ. of Econ. & Bus., Shijiazhuang
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;
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
DOI :
10.1109/FSKD.2008.658
