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Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

With the increase in available data from computer systems and their security threats, interest in anomaly detection has increased as well in recent years. The need to diagnose faults and cyberattacks has also focused scientific research on the automated classification of outliers in big data, as man...

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Detalles Bibliográficos
Autores principales: Cavallaro, Claudia, Cutello, Vincenzo, Pavone, Mario, Zito, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470118/
https://www.ncbi.nlm.nih.gov/pubmed/37663272
http://dx.doi.org/10.3389/fdata.2023.1179625