Systems and methods for verification and anomaly detection using a mixture of hidden markov models

摘要

The present disclosure relates to systems and methods for monitoring data recorded from systems over time. The techniques described herein include the ability to detect and classify system events, and to provide indicators of normal system operation and anomaly detection. The systems and methods of the present disclosure can represent events occurring in the system being monitored in such a way that the temporal characteristics of the events can be captured and utilized for detection, classification and/or anomaly detection, which can be particularly useful when dealing with complex systems and/or events.