Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings

This paper considers the real-time detection of abrupt and persistent anomalies in high-dimensional data streams. The goal is to detect anomalies quickly and accurately so that the appropriate countermeasures could be taken in time before the system possibly gets harmed. We propose a sequential and...

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Detalles Bibliográficos
Autores principales: Mozaffari, Mahsa, Doshi, Keval, Yilmaz, Yasin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656001/
https://www.ncbi.nlm.nih.gov/pubmed/36365962
http://dx.doi.org/10.3390/s22218264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656001/
https://www.ncbi.nlm.nih.gov/pubmed/36365962
http://dx.doi.org/10.3390/s22218264

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