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WEBDB
2004
Springer
100views Database» more  WEBDB 2004»
14 years 4 months ago
Spam, Damn Spam, and Statistics: Using Statistical Analysis to Locate Spam Web Pages
The increasing importance of search engines to commercial web sites has given rise to a phenomenon we call “web spam”, that is, web pages that exist only to mislead search eng...
Dennis Fetterly, Mark Manasse, Marc Najork
ICIAP
2007
ACM
14 years 5 months ago
Image Spam Filtering Using Visual Information
We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-m...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
CEAS
2008
Springer
14 years 26 days ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins
FLAIRS
2008
14 years 1 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
DEXAW
2009
IEEE
160views Database» more  DEXAW 2009»
14 years 5 months ago
Automatic User Comment Detection in Flat Internet Fora
—Millions of people are using the World Wide Web and are publishing content online. This user generated content contains many information relevant not only to marketing but to co...
Mathias Bank, Michael Mattes