Systems and methods for anomaly detection in time series data using dynamic pairing

Abstract

Systems, methods, and computer-readable storage media facilitating anomaly data detection are disclosed. In the disclosed embodiments, asset pairs may be identified based on relationship information extracted from time series data. A real-time data stream may be monitored in view of the relationship information, and an anomaly in the asset pairs is detected in real time based on behaviors of assets relative to assets in identified asset pairs. Detection of an anomaly may trigger generation of a control signal that may initiation investigation of the anomaly and other actions to mitigate the impact of the anomaly.