Sciweavers

13 search results - page 2 / 3
» Spam or ham
Sort
View
CEAS
2007
Springer
13 years 9 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
CEAS
2006
Springer
13 years 9 months ago
Spam Filtering with Naive Bayes - Which Naive Bayes?
Naive Bayes is very popular in commercial and open-source anti-spam e-mail filters. There are, however, several forms of Naive Bayes, something the anti-spam literature does not a...
Vangelis Metsis, Ion Androutsopoulos, Georgios Pal...
CEAS
2011
Springer
12 years 5 months ago
Spam detection using web page content: a new battleground
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Marco Túlio Ribeiro, Pedro Henrique Calais ...
AIRS
2008
Springer
13 years 12 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
CEAS
2007
Springer
13 years 11 months ago
Combining Global and Personal Anti-Spam Filtering
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
Richard Segal