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...

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Detalles Bibliográficos
Autores principales: Zhang, Lin, Zhang, Wenyu, McNeil, Maxwell J., Chengwang, Nachuan, Matteson, David S., Bogdanov, Petko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
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

Internet

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

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