Home > Model Nodes
The Models section of the Oracle Data Miner Components Palette 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 either or both of the clustering algorithms (k-Means and O-Cluster).
Feature Extraction Node: Builds feature extraction models using non-negative matrix factorization.
Model Node: Adds models to a workflow that were not built using Oracle Data Miner. This node has no input data.
Model Details Node: Extract model details from a model build node, a model node, or any node that outputs 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 one of the regression algorithms (SVM and GLM).
This chapter also discusses the following general topics: