Contrastive autoencoder for anomaly detection in multivariate time series

Zhou Hao; Ke Yu; Xuan Zhang; Guanlin Wu; Anis Yazidi

doi:10.1016/j.ins.2022.07.179

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JOURNAL ARTICLE

Contrastive autoencoder for anomaly detection in multivariate time series

Zhou Hao Ke Yu Xuan Zhang Guanlin Wu Anis Yazidi

Year: 2022 Journal: Information Sciences Vol: 610 Pages: 266-280 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.07.179

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Keywords:

Anomaly detection Autoencoder Computer science Multivariate statistics Artificial intelligence Dependency (UML) Series (stratigraphy) Pattern recognition (psychology) Anomaly (physics) Time series Invariant (physics) Data mining Representation (politics) Deep learning Machine learning Mathematics

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Contrastive autoencoder for anomaly detection in multivariate time series

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