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CEAS
2004
Springer
15 years 11 months ago
Word Stemming to Enhance Spam Filtering
Generally a content based spam filter works on words and phrases of email text and if it finds offensive content it gives that email a numerical value (depending on the content). A...
Shabbir Ahmed, Farzana Mithun
159
Voted
COLCOM
2005
IEEE
15 years 11 months ago
An experimental evaluation of spam filter performance and robustness against attack
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
Steve Webb, Subramanyam Chitti, Calton Pu
148
Voted
AI
2010
Springer
15 years 10 months ago
A Three-Way Decision Approach to Email Spam Filtering
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Bing Zhou, Yiyu Yao, Jigang Luo
WEBDB
2004
Springer
100views Database» more  WEBDB 2004»
15 years 11 months ago
Spam, Damn Spam, and Statistics: Using Statistical Analysis to Locate Spam Web Pages
The increasing importance of search engines to commercial web sites has given rise to a phenomenon we call “web spam”, that is, web pages that exist only to mislead search eng...
Dennis Fetterly, Mark Manasse, Marc Najork
SAC
2009
ACM
15 years 10 months ago
Spam decisions on gray e-mail using personalized ontologies
E-mail is one of the most common communication methods among people on the Internet. However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam e-ma...
Seongwook Youn, Dennis McLeod