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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9991964/ |