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» A case for unsupervised-learning-based spam filtering
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99
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COMPSEC
2006
132views more  COMPSEC 2006»
15 years 19 days 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
124
Voted
AIR
2005
119views more  AIR 2005»
15 years 15 days 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...
93
Voted
EPIA
2007
Springer
15 years 4 months ago
Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems
José Ramon Méndez, Florentino Fdez-R...
65
Voted
SIGMETRICS
2010
ACM
147views Hardware» more  SIGMETRICS 2010»
15 years 24 days ago
A case for unsupervised-learning-based spam filtering
Feng Qian, Abhinav Pathak, Yu Charlie Hu, Zhuoqing...
83
Voted
CEAS
2008
Springer
15 years 2 months 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