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» Using word similarity to eradicate junk emails
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CIKM
2007
Springer
13 years 10 months ago
Using word similarity to eradicate junk emails
Emails are one of the most commonly used modern communication media these days; however, unsolicited emails obstruct this otherwise fast and convenient technology for information ...
Maria Soledad Pera, Yiu-Kai Ng
DAS
2004
Springer
13 years 10 months ago
A Neural Network Classifier for Junk E-Mail
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
Ian Stuart, Sung-Hyuk Cha, Charles C. Tappert
ISICT
2003
13 years 5 months ago
Spam filters: bayes vs. chi-squared; letters vs. words
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 ...
Cormac O'Brien, Carl Vogel
CEC
2003
IEEE
13 years 8 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
HAIS
2011
Springer
12 years 8 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...