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Precision and Recall for Range-Based Anomaly Detection
Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point.
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection
This short paper describes our ongoing research on Greenhouse - a zero-positive machine learning system for time-series anomaly detection.
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