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.

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. In this paper, we present a new mathematical model to express range-based anomalies, anomalies that occur over a range (or period) of time.