DocumentCode :
2729716
Title :
Research and design of ID3 algorithm rules-based anti-spam email filtering
Author :
Zhang, Yiwen ; Ding, Lili ; Wang, Yun
Author_Institution :
Inf. Eng. Software Dept., Anhui Xinhua Univ., Hefei, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
572
Lastpage :
575
Abstract :
The volume of junk emails on the Internet has grown tremendously in the past few years and is causing serious problems. So that we pay attention to anti-spam filtering technology research and development. By using data mining technology to spam effectively filter that effectively reducing the impact of spam on the user. For a large number of E-mail ID3 algorithms based on rule restriction in this paper, which through data mining techniques to filter out junk mail filter and applied to the mail system. In this paper, the Chinese e-mail subject and body text information will be filtered.
Keywords :
Internet; data mining; security of data; unsolicited e-mail; Chinese e-mail subject; ID3 algorithm rules; Internet; antispam email filtering; data mining technology; junk mail filter; ID3; algorithm; chinese information; junk email;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9699-0
Type :
conf
DOI :
10.1109/ICSESS.2011.5982380
Filename :
5982380
Link To Document :
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