13 search results - page 2 / 3 » Effective spam filtering: A single-class learning and ensemb... |
CORR
2000
Springer
13 years 4 months ago
2000
Springer
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
COLCOM
2005
IEEE
13 years 10 months ago
2005
IEEE
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
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...
CEAS
2008
Springer
13 years 7 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...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...