SDDM: an interpretable statistical concept drift detection method for data streams
Simona Micevska, Ahmed Awad, Sherif Sakr
Topics & Concepts
Concept driftComputer scienceData stream miningClassifier (UML)Data streamFalse positive paradoxDetectorBinary classificationArtificial intelligenceData miningBinary numberFalse positives and false negativesChange detectionMachine learningPattern recognition (psychology)Support vector machineMathematicsArithmeticTelecommunicationsData Stream Mining TechniquesAnomaly Detection Techniques and ApplicationsMachine Learning and Data Classification