117 search results - page 5 / 24 » The Fight against Spam - A Machine Learning Approach |
CEAS
2007
Springer
13 years 11 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...
CEAS
2004
Springer
14 years 26 days ago
2004
Springer
Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in h...
INCDM
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
CEAS
2008
Springer
13 years 9 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...
AIPRF
2008
13 years 9 months ago
2008
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...