Home > Model Nodes
The Models section of the Oracle Data Miner Components window includes the following nodes:
Anomaly Detection Node: Builds Anomaly detection models using one-class SVM.
Association Node: Build models for market basket analysis.
Classification Node: Builds and tests classification models with the same target, Case ID, cost, and split settings, where relevant. The models use the classification algorithms: SVM, NB, DT, and GLM.
Clustering Node: Builds clustering models using the clustering algorithms: k-Means, O-Cluster, and Expectation Maximization (EM). EM requires Oracle Database 12c or later.
Feature Extraction Node: Builds feature extraction models using the feature extraction algorithms: non-negative matrix factorization, principal components analysis (PCA), and singular value decomposition (SVD). PCA and SVD require Oracle Database 12c or later.
Model Node: Adds models to a workflow that were not built in the current workflow. This node has no input data.
Model Details Node: Extract model details from a model build node, a model node, or any node that produces a model.
Regression Node: Builds and tests a collection of regression models with the same target, Case ID, cost, and split settings, where relevant. The models use the regression algorithms: SVM and GLM.
This chapter also discusses the following general topics: