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Bayesian filtering

   Also found in: Wikipedia 0.01 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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The most difficult filtering mechanisms to beat are the Bayesian filtering method and the Markovian discrimination.
The Bayesian filtering is based on the principle that most events are dependent and that the probability of an event occurring in the future can be inferred from the occurrences of this event in the past.
Bayesian filtering is a system that has a fairly complex implementation, but is easy to understand in principle.
 
 
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