Spam Filter Based on Naive Bayesian Classifier

Spam now accounts for over 70% of all emails and the harm to users is increasing, such as waste a lot of network bandwidth to transfer and space to store, has large quantity, repetitive, fraud, and unhealthy content, etc. As spam is usually embedded in normal e-mails, it is difficult to identify the...

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Veröffentlicht in:	Journal of physics. Conference series 2020-06, Vol.1575 (1), p.12054
Hauptverfasser:	Lv, Teng, Yan, Ping, Yuan, Hongwu, He, Weimin
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Classifiers Fraud Physics Spamming Technology assessment
Online-Zugang:	Volltext
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