Cargando…
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...
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 |
Ejemplares similares
-
Editorial: Big Data and machine learning in cancer theranostics
por: da Silva, Fabricio Alves Barbosa, et al.
Publicado: (2022) -
Applications and Techniques for Fast Machine Learning in Science
por: Deiana, Allison McCarn, et al.
Publicado: (2022) -
Corrigendum: Applications and techniques for fast machine learning in science
por: Deiana, Allison McCarn, et al.
Publicado: (2023) -
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry
por: Clissa, Luca, et al.
Publicado: (2023) -
A Machine Learning Approach to Simulate Gene Expression and Infer Gene Regulatory Networks †
por: Zito, Francesco, et al.
Publicado: (2023)