bayesian spam filter thoughts for 12.31.1969

One distinctive feature of the bayesian approach is that it relies on objective analysis of actual data rather than on some filter-writer's guess of what is in spam and what isn't, and proponents of bayesian filters claim very effective filtering with low false positives and negatives. A Bayesian filter looks at individual words (or "tokens") in a message and "weighs" them for their frequency of appearance in spam versus their frequency of appearance in general, non-spam e-mail; when the weights of all these words are combined using the Bayes equation, the result is an estimate of the probability that a message is spam. While it is arithmetical in nature, spamassassin is not itself a bayesian filter, although bayesian filters can be included as spamassassin tests. Bayesian filtering. Bayesian filtering is one of the techniques used by sophos puremessage to determine if an email is spam or not. The simplest content filters may just look for certain words or patterns (like "cialis" or "make money") but are not as effective as content filters using more complex techniques such as Bayesian filtering. Bayesian FilterL: A form of content-based spam filter named for Reverend Thomas Bayes' famous theorem of conditional probabilities.

Spam

bayesian spam filter

According to a variety of online sources, unsolicited email - otherwise know as spam, is responsible for up to 90 percent of all email messages sent and received.



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