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» Online Discriminative Spam Filter Training
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CEAS
2006
Springer
13 years 8 months ago
Online Discriminative Spam Filter Training
We describe a very simple technique for discriminatively training a spam filter. Our results on the TREC Enron spam corpus would have been the best for the Ham at .1% measure, and...
Joshua Goodman, Wen-tau Yih
WEBI
2007
Springer
13 years 10 months ago
PSSF: A Novel Statistical Approach for Personalized Service-side Spam Filtering
The volume of spam e-mails has grown rapidly in the last two years resulting in increasing costs to users, network operators, and e-mail service providers (ESPs). E-mail users dem...
Khurum Nazir Junejo, Asim Karim
AIRS
2008
Springer
13 years 11 months ago
Active Learning for Online Spam Filtering
Spam filtering is defined as a task trying to label emails with spam or ham in an online situation. The online feature requires the spam filter has a strong timely generalization a...
Wuying Liu, Ting Wang
SIGUCCS
2004
ACM
13 years 10 months ago
Spam software evaluation, training, and support: fighting back to reclaim the email inbox
This paper explains two projects dealing with spam recently completed at Iowa State University (ISU). The first project was undertaken by a team composed of members of the campus ...
Jeff Balvanz, Don Paulsen, Joe Struss
CEAS
2007
Springer
13 years 8 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley