An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection
Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
Topics & Concepts
InterpretabilityComputer scienceAnomaly detectionRegretBenchmark (surveying)Machine learningStreaming dataData miningConvex optimizationArtificial intelligenceOnline algorithmRegular polygonAlgorithmMathematicsGeographyGeometryGeodesyNetwork Security and Intrusion DetectionData Stream Mining TechniquesAnomaly Detection Techniques and Applications