Proceedings. ISCC 2004. Ninth International Symposium on Computers and Communications (IEEE Cat. No.04TH8769) 2004
DOI: 10.1109/iscc.2004.1358392
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An new E-mail filtering technique using time priority measurement

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Cited by 1 publication
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“…Also, Oda and White proposed an artificial immune system using several methods to classify messages and to protect e-mail users from spam [19]. Kadoya et al [11] and Sumitomo et al [22] defined multi-attribute rules to measure the complex time priority for e-mail filtering. Pattern machine learning methods were used in their method that aims at avoiding messages missed during the e-mail detection.…”
Section: E-mail Bombsmentioning
confidence: 99%
“…Also, Oda and White proposed an artificial immune system using several methods to classify messages and to protect e-mail users from spam [19]. Kadoya et al [11] and Sumitomo et al [22] defined multi-attribute rules to measure the complex time priority for e-mail filtering. Pattern machine learning methods were used in their method that aims at avoiding messages missed during the e-mail detection.…”
Section: E-mail Bombsmentioning
confidence: 99%