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SIGIR
2009
ACM
14 years 2 months ago
On the relative age of spam and ham training samples for email filtering
Email spam filters are commonly trained on a sample of spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messag...
Gordon V. Cormack, Jose-Marcio Martins da Cruz
ICTAI
2007
IEEE
14 years 1 months ago
Automatic Personalized Spam Filtering through Significant Word Modeling
Typically, spam filters are built on the assumption that the characteristics of e-mails in the training set is identical to those in individual users’ inboxes on which it will b...
Khurum Nazir Junejo, Asim Karim
COMPSEC
2006
132views more  COMPSEC 2006»
13 years 7 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
ICASSP
2010
IEEE
13 years 7 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
ISSA
2008
13 years 9 months ago
Spam Construction Trends
This paper replicates and extends Observed Trends in Spam Construction Techniques: A Case Study of Spam Evolution. A corpus of 169,274 spam email was collected over a period of fi...
Barry Irwin, Blake Friedman