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» Filtering Email Spam in the Presence of Noisy User Feedback
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CEAS
2008
Springer
9 years 10 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
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...
D. Sculley, Gordon V. Cormack
CHINZ
2007
ACM
9 years 12 months ago
Users dealing with spam and spam filters: some observations and recommendations
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 ...
Christopher Lueg, Sam Martin
CEAS
2005
Springer
10 years 1 months ago
Good Word Attacks on Statistical Spam Filters
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 ...
Daniel Lowd, Christopher Meek
AI
2010
Springer
10 years 22 days ago
A Three-Way Decision Approach to Email Spam Filtering
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....
Bing Zhou, Yiyu Yao, Jigang Luo
ICTAI
2007
IEEE
10 years 2 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
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