A Review of Machine Learning-Based Time-Series Anomaly Detection in the Water Domain
Anomaly detection in water-related time-series data often reveals important environmental problems and serves as a starting point for scientific discoveries. Machine learning has become the mainstream method and a research hotspot for anomaly detection in recent years. This review examines 106 research articles from th...