A Prior Distribution for Anti-spam Statistical Bayesian Model

This paper deals with Bayesian models applied to anti-spam. In most anti-spam related researches, authors assume that the probability of spam message is equal to 0.5, which is unrealistic. This pushes us to define a prior and a posterior probability laws to enhance the spam detection and increase th...

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Bibliographische Detailangaben

Hauptverfasser:	Begriche, Y., Labiod, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Costs Filtering IEEE members Information security Information systems Niobium Probability Telecommunications Unsolicited electronic mail
Online-Zugang:	Volltext bestellen
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