Anomaly Detection of Water Physicochemical Indicators Based on an Isolation Forest–Random Forest Fusion Algorithm
To overcome the challenges of limited abnormal samples, diverse anomaly patterns, and the insufficient capability of conventional threshold-based methods in detecting multivariate water quality abnormalities, this study develops an anomaly detection approach based on an Isolation Forest–Random Forest fusion algorithm....