Publication | Closed Access

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances

EngineeringMachine LearningShift DetectionStreaming AlgorithmText MiningNatural Language ProcessingTarget Concept DriftsData StreamConcept DriftInformation RetrievalData ScienceData MiningPattern RecognitionPredictive AnalyticsKnowledge DiscoveryComputer ScienceData Stream MiningInput SpaceData Streams