Anomaly Detection

Anomaly Detection (AD) identifies cases that are unusual within data that is apparently homogeneous. Anomaly detection is an important tool for fraud detection, network intrusion, and other rare events that may have great significance but are hard to find.

Oracle Data Mining uses Support Vector Machine (SVM) as the one-class classifier for Anomaly Detection (AD). When SVM is used for anomaly detection, it has the classification mining function but no target.

There are two ways to search for anomalies:

• By building and applying an Anomaly Detection model. To build an AD model, use an Anomaly Detection Node connected to an appropriate data source.

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