Time Series Anomaly Detection using Prediction-Reconstruction Mixture Errors
Anomaly detection on time series data is increasingly common across various industrial domains that require monitoring metrics to prevent potential accidents and economic losses. The complications of anomaly detection revolve around a scarcity of labeled data and the need to learn temporal correlati...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144671 |