968 search results - page 15 / 194 » Adaptive Filtering of SPAM |
109
Voted
ICCBR
2007
Springer
15 years 8 months ago
2007
Springer
In this paper, we compare case-based spam filters, focusing on their resilience to concept drift. In particular, we evaluate how to track concept drift using a case-based spam fi...
128
Voted
HIS
2004
15 years 3 months ago
2004
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
106
Voted
CCS
2010
ACM
15 years 2 months ago
2010
ACM
In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blackl...
120
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CEAS
2007
Springer
15 years 6 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...
AINA
2006
IEEE
15 years 8 months ago
2006
IEEE