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AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
The ability to accurately and consistently discover anomalies in time series is important in many applications. Fields such as finance (fraud detection), information security (intrusion detection), healthcare, and others all benefit from anomaly detection. Intuitively, anomalies in time series are t...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220123/ https://www.ncbi.nlm.nih.gov/pubmed/34177356 http://dx.doi.org/10.1007/s10618-021-00771-7 |