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Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach

Bixuan Gao, Xiangyu Kong, Shangze Li, Yi Chen, Xiyuan Zhang, Ziyu Liu, Weijia Lv

2023Applied Energy36 citationsDOI

Topics & Concepts

InterpretabilityAnomaly detectionComputer scienceOutlierArtificial intelligenceData miningMachine learningData pre-processingData modelingMissing dataPreprocessorDeep learningData qualityEngineeringDatabaseMetric (unit)Operations managementElectricity Theft Detection TechniquesWater Systems and OptimizationImbalanced Data Classification Techniques
Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach | Litcius