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.

For information about Anomaly Detection Models, see Anomaly Detection.

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; fro details, see Parallel Processing.

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 Settings for Anomaly Detection

• Anomaly Detection Node Properties

• Anomaly Detection Node Context Menu