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» The Fight against Spam - A Machine Learning Approach
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AIRWEB
2007
Springer
13 years 11 months ago
Transductive Link Spam Detection
Web spam can significantly deteriorate the quality of search engines. Early web spamming techniques mainly manipulate page content. Since linkage information is widely used in we...
Dengyong Zhou, Chris Burges, Tao Tao
DOCENG
2006
ACM
13 years 11 months ago
Content based SMS spam filtering
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, special...
José María Gómez Hidalgo, Gui...
CCS
2006
ACM
13 years 9 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
ECML
2005
Springer
13 years 11 months ago
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...
Isabel Drost, Tobias Scheffer
CLEF
2010
Springer
13 years 6 months ago
Wiki Vandalysis - Wikipedia Vandalism Analysis - Lab Report for PAN at CLEF 2010
Wikipedia describes itself as the "free encyclopedia that anyone can edit". Along with the helpful volunteers who contribute by improving the articles, a great number of ...
Manoj Harpalani, Thanadit Phumprao, Megha Bassi, M...