Machine learning for email spam filtering: review, approaches and open research problems

The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters. Machine learning methods of recent are being used to successfully detect and filter spam emails. We present a systematic review of some of the popu...

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Veröffentlicht in:Heliyon Jg. 5; H. 6; S. e01802
Hauptverfasser: Dada, Emmanuel Gbenga, Bassi, Joseph Stephen, Chiroma, Haruna, Abdulhamid, Shafi'i Muhammad, Adetunmbi, Adebayo Olusola, Ajibuwa, Opeyemi Emmanuel
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 01.06.2019
Elsevier
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ISSN:2405-8440, 2405-8440
Online-Zugang:Volltext
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