Anomaly detection in multivariate time series using ensemble method
Water distribution networks (WDNs) are essential services to people’s life and production. The identification of anomalies and mitigation of cyber-attacks are crucial to ensure uninterrupted water service. Among various solutions of anomalies detection, matrix profile is recognized as the most ti...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/155731 |