Collaborative Streaming Anomaly Detection with Interactive Explanations and Ensemble Consensus
A collaborative streaming anomaly detection system for high-speed data streams that explicitly integrates human analysts into the decision loop and derives surrogate models that approximate the ensemble consensus and expose human-readable sensor conditions associated with anomalous behavior is presented.