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  2. Email filtering - Wikipedia

    en.wikipedia.org/wiki/Email_filtering

    Email filtering. is the processing of email to organize it according to specified criteria. The term can apply to the intervention of human intelligence, but most often refers to the automatic processing of messages at an SMTP server, possibly applying anti-spam techniques. Filtering can be applied to incoming emails as well as to outgoing ones.

  3. Apache SpamAssassin - Wikipedia

    en.wikipedia.org/wiki/Apache_SpamAssassin

    Apache SpamAssassin is a computer program used for e-mail spam filtering. It uses a variety of spam-detection techniques, including DNS and fuzzy checksum techniques, Bayesian filtering, external programs, blacklists and online databases. It is released under the Apache License 2.0 and is a part of the Apache Foundation since 2004.

  4. Anti-spam techniques - Wikipedia

    en.wikipedia.org/wiki/Anti-spam_techniques

    Various anti-spam techniques are used to prevent email spam (unsolicited bulk email). No technique is a complete solution to the spam problem, and each has trade-offs between incorrectly rejecting legitimate email ( false positives) as opposed to not rejecting all spam email ( false negatives) – and the associated costs in time, effort, and ...

  5. Manage spam and privacy in AOL Mail

    help.aol.com/articles/aol-mail-spam-and-privacy

    While most spam emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's important to mark the email as spam. This helps us make AOL Mail even better at recognizing future spam emails. Never interact with spam messages! Any link in a spam message, including the unsubscribe link, could be dangerous.

  6. POPFile - Wikipedia

    en.wikipedia.org/wiki/POPFile

    POPFile is an abandoned free, open-source, cross-platform mail filter originally written in Perl by John Graham-Cumming and maintained by a team of volunteers. It uses a naive Bayes classifier to filter mail. This allows the filter to "learn" and classify mail according to the user's preferences. Typically it is used to filter spam mail.

  7. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    Naive Bayes spam filtering is a baseline technique for dealing with spam that can tailor itself to the email needs of individual users and give low false positive spam detection rates that are generally acceptable to users. It is one of the oldest ways of doing spam filtering, with roots in the 1990s.

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