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

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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Bibliographic Details
Main Authors: Emmanuel Gbenga Dada, Joseph Stephen Bassi, Haruna Chiroma, Shafi'i Muhammad Abdulhamid, Adebayo Olusola Adetunmbi, Opeyemi Emmanuel Ajibuwa
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:Heliyon
Subjects:
Computer science
Computer security
Computer privacy
Analysis of algorithms
Machine learning
Spam filtering
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844018353404

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http://www.sciencedirect.com/science/article/pii/S2405844018353404

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