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
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;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
Conference_Location :
Wuyi
Print_ISBN :
978-1-4799-7257-9
DOI :
10.1109/ICACI.2015.7184736
