8 search results - page 1 / 2 » Filtering Email Spam in the Presence of Noisy User Feedback |
CEAS
2008
Springer
13 years 6 months ago
2008
Springer
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
CHINZ
2007
ACM
13 years 8 months ago
2007
ACM
The email communication system is threatened by unsolicited commercial email aka spam. In response, spam filters have been deployed widely to help reduce the amount of spam users ...
CEAS
2005
Springer
13 years 10 months ago
2005
Springer
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
AI
2010
Springer
13 years 9 months ago
2010
Springer
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
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...