Better Naive Bayes classification for high-precision spam detection

Email spam has become a major problem for Internet users and providers. One major obstacle to its eradication is that the potential solutions need to ensure a very low false‐positive rate, which tends to be difficult in practice. We address the problem of low‐FPR classification in the context of nai...

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Veröffentlicht in:	Software, practice & experience practice & experience, 2009-08, Vol.39 (11), p.1003-1024
Hauptverfasser:	Song, Yang, Kołcz, Aleksander, Giles, C. Lee
Format:	Artikel
Sprache:	eng
Schlagworte:	cascaded models naive Bayes spam filtering
Online-Zugang:	Volltext
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