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CCS
2008
ACM
13 years 9 months ago
Spamalytics: an empirical analysis of spam marketing conversion
The "conversion rate" of spam -- the probability that an unsolicited e-mail will ultimately elicit a "sale" -- underlies the entire spam value proposition. How...
Chris Kanich, Christian Kreibich, Kirill Levchenko...
JMLR
2006
147views more  JMLR 2006»
13 years 7 months ago
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam ...
Giorgio Fumera, Ignazio Pillai, Fabio Roli
CORR
2000
Springer
126views Education» more  CORR 2000»
13 years 7 months ago
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
Ion Androutsopoulos, Georgios Paliouras, Vangelis ...
CEAS
2008
Springer
13 years 9 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
CEAS
2008
Springer
13 years 9 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
D. Sculley, Gordon V. Cormack