DocumentCode
734163
Title
A comparative study on machine leaning techniques in Chinese spam
Author
Siyao Han ; Yan Xu
Author_Institution
Inf. Sci. Dept., Beijing Language & Culture Univ., Beijing, China
fYear
2015
fDate
27-29 March 2015
Firstpage
390
Lastpage
395
Abstract
Anti-spam is of great importance to IT security, and has attracted considerable attention during recent yeats in China. Machine learning techniques have been widely used to solve this problem and achieved promising results. This article compares several popular machine leaning methods in Chinese spam classification, and tries to find out a suitable combination of techniques for Chinese anti-spam work.
Keywords
learning (artificial intelligence); pattern classification; unsolicited e-mail; Chinese anti-spam work; Chinese spam classification; machine learning methods; Cryptography; Databases; Filtering; Positron emission tomography; Support vector machines; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
Conference_Location
Wuyi
Print_ISBN
978-1-4799-7257-9
Type
conf
DOI
10.1109/ICACI.2015.7184736
Filename
7184736
Link To Document