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» Adaptive Filtering of SPAM
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SIGIR
2009
ACM
14 years 2 months ago
Spam filter evaluation with imprecise ground truth
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...
Gordon V. Cormack, Aleksander Kolcz
ACSAC
2006
IEEE
14 years 1 months ago
Enhancing Collaborative Spam Detection with Bloom Filters
Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technol...
Jeff Yan, Pook Leong Cho
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
13 years 11 months ago
Spam Email Filtering Using Network-Level Properties
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
Paulo Cortez, André Correia, Pedro Sousa, M...
IDA
2007
Springer
13 years 7 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald
CEAS
2007
Springer
14 years 1 months ago
Combining Global and Personal Anti-Spam Filtering
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
Richard Segal