a type of spam filter that looks at the probabilities of words and html tags that appear in an email message
Method of identifying SPAM that calculates the probability based on the whole of the content rather than just searching for keywords
A spam filter that evaluates email message content to determine the probability that it is spam. Bayesian filters are adaptable and can learn to identify new patterns of spam by analyzing incoming email.
An anti-spam program that evaluates header and content of incoming email messages to determine the probability that it is spam. Bayesian filters assign point values to items that appear frequently in spam, such as the words "money-back guarantee" or "free." A message that accumulated too many points is either rejected as probable spam or delivered to a junk-mail folder. Aka content-based filter.
A content based filter that works like an anti-spam program to evaluate header and content of incoming email messages to determine the probability that it is spam. Also see Authentication