ISICT
2003
13 years 6 months ago
2003
We compare two statistical methods for identifying spam or junk electronic mail. Spam filters are classifiers which determine whether an email is junk or not. The proliferation ...
CEAS
2005
Springer
13 years 10 months ago
2005
Springer
To circumvent spam filters, many spammers attempt to obfuscate their emails by deliberately misspelling words or introducing other errors into the text. For example viagra may be...
SIGIR
2006
ACM
13 years 10 months ago
2006
ACM
We show that a set of independently developed spam filters may be combined in simple ways to provide substantially better filtering than any of the individual filters. The resu...
CIKM
2007
Springer
13 years 10 months ago
2007
Springer
We consider the problem of content-based spam filtering for short text messages that arise in three contexts: mobile (SMS) communication, blog comments, and email summary informa...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
WWW
2010
ACM
13 years 11 months ago
2010
ACM
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...