Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > Naive Bayes > Non-Negative Matrix Factori... > Orthogonal Partitioning Clu... > Singular Value Decompositio... > Support Vector Machine > Building and Testing SVM Mo... > SVM Anomaly Detection Models
Oracle Data Mining uses one-class SVM for anomaly detection (AD). There is no target for anomaly detection.
To build an AD model, use an Anomaly Detection Node connected to an appropriate data source.
For information about anomaly detection, see Anomaly Detection.