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ICML
2009
IEEE
16 years 21 days ago
Bayesian clustering for email campaign detection
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
Peter Haider, Tobias Scheffer
CEAS
2004
Springer
15 years 5 months ago
Word Stemming to Enhance Spam Filtering
Generally a content based spam filter works on words and phrases of email text and if it finds offensive content it gives that email a numerical value (depending on the content). A...
Shabbir Ahmed, Farzana Mithun
CEAS
2008
Springer
15 years 1 months ago
A Survey of Modern Spam Tools
Over the past 5 years, spam sending technology has improved dramatically. Static messages sent opportunistically through misconfigured hosts have evolved into dynamically generate...
Henry Stern
CIKM
2008
Springer
15 years 1 months ago
Predicting web spam with HTTP session information
Web spam is a widely-recognized threat to the quality and security of the Web. Web spam pages pollute search engine indexes, burden Web crawlers and Web mining services, and expos...
Steve Webb, James Caverlee, Calton Pu
CCS
2010
ACM
15 years 2 days ago
Detecting and characterizing social spam campaigns
Online social networks (OSNs) are popular collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also effective...
Hongyu Gao, Jun Hu, Christo Wilson, Zhichun Li, Ya...