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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |