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Bayesian filtering

   Also found in: Wikipedia 0.02 sec.

Bayesian filtering

An analysis technique that has been applied to eliminating spam. It "learns" to differentiate real mail from advertising by examining the words and punctuation in large samples of both types of messages. It selects a set of words and numbers ("tokens") from the text and compares their ratio between good mail and spam. Using the tokens, the Bayesian approach looks at new mail and calculates the probability that the message is bogus. See spam filter.



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Content tools that run Bayesian filtering and heuristics text analyses on messages are no longer as effective as they once were on their own," noted Michael Hyatt, president of BlueCat Networks, Inc.
These industry-leading enhancements build upon previously introduced SmarterMail features; such as Bayesian filtering, SPF, RBL, SMTP connection blocking, and more; to ensure that spam and viruses are stopped at the perimeter--95% (or more) of spam never touches an inbox.
Traditional anti-spam technology -- such as content-based, Bayesian filtering, Heuristics and URL filtering -- is practically defenseless against this image-based spam, leaving organizations open to floods of these types of emails.
 
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