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WEBDB
2004
Springer
100views Database» more  WEBDB 2004»
13 years 10 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
CEAS
2007
Springer
13 years 11 months ago
Characterizing Web Spam Using Content and HTTP Session Analysis
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using conten...
Steve Webb, James Caverlee, Calton Pu
WWW
2008
ACM
14 years 5 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
WWW
2005
ACM
13 years 10 months ago
An economic model of the worldwide web
: We believe that much novel insight into the worldwide web can be obtained from taking into account the important fact that it is created, used, and run by selfish optimizing agen...
Georgios Kouroupas, Elias Koutsoupias, Christos H....
KAIS
2011
129views more  KAIS 2011»
12 years 12 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis