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» A case for unsupervised-learning-based spam filtering
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COMPSEC
2006
132views more  COMPSEC 2006»
13 years 11 months ago
Tightening the net: A review of current and next generation spam filtering tools
This paper provides an overview of current and potential future spam filtering approaches. We examine the problems spam introduces, what spam is and how we can measure it. The pap...
James Carpinter, Ray Hunt
AIR
2005
119views more  AIR 2005»
13 years 10 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...
SIGMETRICS
2010
ACM
147views Hardware» more  SIGMETRICS 2010»
13 years 11 months ago
A case for unsupervised-learning-based spam filtering
Feng Qian, Abhinav Pathak, Yu Charlie Hu, Zhuoqing...
CEAS
2008
Springer
14 years 25 days ago
A Survey of Modern Spam Tools
Over the past 5 years, spam sending technology has improved dramatically. Static messages sent opportunistically through misconfigured hosts have evolved into dynamically generate...
Henry Stern