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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Detalles Bibliográficos
Autores principales: Dada, Emmanuel Gbenga, Bassi, Joseph Stephen, Chiroma, Haruna, Abdulhamid, Shafi'i Muhammad, Adetunmbi, Adebayo Olusola, Ajibuwa, Opeyemi Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562150/
https://www.ncbi.nlm.nih.gov/pubmed/31211254
http://dx.doi.org/10.1016/j.heliyon.2019.e01802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562150/
https://www.ncbi.nlm.nih.gov/pubmed/31211254
http://dx.doi.org/10.1016/j.heliyon.2019.e01802

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