Anomaly Detection Node

An Anomaly Detection node builds one or more models that detect rare occurrences, such as fraud, using the One-Class SVM algorithm.

There are two ways to detect anomalies:

• Build and apply an Anomaly Detection model.

• Use an Anomaly Detection Query, one of the Predictive Query nodes.

An Anomaly Detection build can run in parallel.

The following topics describe Anomaly Detection Nodes:

• Default Behavior for Anomaly Detection Node

• Create Anomaly Detection Node

• Data for Anomaly Detection Build

• Edit Anomaly Detection Node

• Advanced Model Settings

• Anomaly Detection Node Properties

• Anomaly Detection Node Context Menu