40 search results - page 1 / 8 » Spam filtering with several novel bayesian classifiers |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
WEBI
2007
Springer
13 years 11 months ago
2007
Springer
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...
AUSAI
2004
Springer
13 years 9 months ago
2004
Springer
With the explosive growth of the Internet, e-mails are regarded as one of the most important methods to send e-mails as a substitute for traditional communications. As e-mail has b...
CEAS
2007
Springer
13 years 9 months ago
2007
Springer
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...
DAS
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...