The Anomaly Detection Agent allows you to read sets of data and pinpoint anomalies using Microsoft Machine Learning algorithms. There are two use cases for this Agent:
- Change Point Detection predicts when a value may indicate a new trend. For instance, pinpointing a rising or falling trend in the average electricity consumption of a device.
- Spike Detection flags whether the difference between values is anomalously large. For instance, raising an alert when the running temperature of a device suddenly increases beyond the fluctuations expected in normal use.
The Anomaly Detection Agent currently supports two customizable algorithms to implement these use cases: one based on Independent and Identically Distributed values (IID), and another based on Singular Spectrum Analysis (SSA).
- The minimum XMPro Data Stream version required for this Agent is 4.1.
- The Stream Host that this Agent will run on must have a Windows operating system.