Chen-Ting Dong

EdgeBoost4PAD: An Adaptive Strategy for Enhancing Semi-Supervised Priority-Aware Anomaly Detection

Anomaly detection is a crucial problem in data mining and analytics with widespread applications. Existing studies, however, often treat all anomalies equally, overlooking the fact that in many real-world scenarios, anomalies can have varying levels of importance. In this paper, we consider priority-aware anomaly detec...