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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| 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 |