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» Spam filtering with several novel bayesian classifiers
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AI
2010
Springer
13 years 10 months ago
A Three-Way Decision Approach to Email Spam Filtering
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Bing Zhou, Yiyu Yao, Jigang Luo
CORR
2000
Springer
126views Education» more  CORR 2000»
13 years 5 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 ...
HAIS
2011
Springer
12 years 9 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
CEC
2003
IEEE
13 years 9 months ago
Increasing the accuracy of a spam-detecting artificial immune system
AbstractSpam, the electronic equivalent of junk mail, affects over 600 million users worldwide. Even as anti-spam solutions change to limit the amount of spam sent to users, the se...
Terri Oda, Tony White
ACSAC
2010
IEEE
13 years 3 months ago
Spam mitigation using spatio-temporal reputations from blacklist history
IP blacklists are a spam filtering tool employed by a large number of email providers. Centrally maintained and well regarded, blacklists can filter 80+% of spam without having to...
Andrew G. West, Adam J. Aviv, Jian Chang, Insup Le...