Matches in DBpedia 2016-04 for { <http://wikidata.dbpedia.org/resource/Q4874477> ?p ?o }
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- Q4874477 subject Q8633855.
- Q4874477 subject Q8785408.
- Q4874477 abstract "Bayesian poisoning is a technique used by e-mail spammers to attempt to degrade the effectiveness of spam filters that rely on Bayesian spam filtering. Bayesian filtering relies on Bayesian probability to determine whether an incoming mail is spam or is not spam. The spammer hopes that the addition of random (or even carefully selected) words that are unlikely to appear in a spam message will cause the spam filter to believe the message to be legitimate—a statistical type II error. Spammers also hope to cause the spam filter to have a higher false positive rate by turning previously innocent words into spammy words in the Bayesian database (statistical type I errors) because a user who trains their spam filter on a poisoned message will be indicating to the filter that the words added by the spammer are a good indication of spam.".
- Q4874477 wikiPageExternalLink sb200602-poison.
- Q4874477 wikiPageWikiLink Q2141106.
- Q4874477 wikiPageWikiLink Q247213.
- Q4874477 wikiPageWikiLink Q4384351.
- Q4874477 wikiPageWikiLink Q5013910.
- Q4874477 wikiPageWikiLink Q5159940.
- Q4874477 wikiPageWikiLink Q5678841.
- Q4874477 wikiPageWikiLink Q579321.
- Q4874477 wikiPageWikiLink Q7120014.
- Q4874477 wikiPageWikiLink Q7573020.
- Q4874477 wikiPageWikiLink Q812531.
- Q4874477 wikiPageWikiLink Q812534.
- Q4874477 wikiPageWikiLink Q83058.
- Q4874477 wikiPageWikiLink Q8633855.
- Q4874477 wikiPageWikiLink Q8785408.
- Q4874477 wikiPageWikiLink Q989120.
- Q4874477 comment "Bayesian poisoning is a technique used by e-mail spammers to attempt to degrade the effectiveness of spam filters that rely on Bayesian spam filtering. Bayesian filtering relies on Bayesian probability to determine whether an incoming mail is spam or is not spam. The spammer hopes that the addition of random (or even carefully selected) words that are unlikely to appear in a spam message will cause the spam filter to believe the message to be legitimate—a statistical type II error.".
- Q4874477 label "Bayesian poisoning".