Machine Learning-Based Anomaly Detection for Multivariate Time Series With Correlation Dependency

Recent advances in data collection facilitate the acquisition of large quantities of multivariate time series (MTS) data from various real-world systems. Anomaly detection in high-dimensional MTS data is essential to improving the productivity and safety of such systems; however, capturing the compl...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shashank Chauhan, Sudong Lee
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2022-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Anomaly detection multivariate time series correlation dependency
Online-Zugang:	https://ieeexplore.ieee.org/document/9991964/
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