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These new Data Miner 4.0 features are supported for all database connections:
Workflow SQL Script Deployment
Generates SQL scripts to support full deployment of workflow contents
Integrate SQL queries to transform data or provide a new data source
Supports the running of R Language Scripts and viewing of R generated data and graphics
Generate Line, Scatter, Bar, Histogram and Box Plots
Model Build Node Improvements
Node level data usage specification applied to underlying models
Node level text specifications to govern text transformations
Displays heuristic rules responsible for excluding predictor columns
Ability to control the amount of Classification and Regression test results generated
View Data
Ability to drill in to view custom objects and nested tables
These features require connection to Oracle Database 12c or later:
Predictive results without the need to build models using Analytical Queries
Refined predictions based on data partitions
Clustering Node New Algorithm
AddedExpectation Maximization algorithm
Feature Extraction Node New Algorithms
Added Singular Value Decomposition and Principal Components Analysis algorithms
Text Mining Enhancements
Text transformations integrated as part of Model's Automatic Data Preparation
Ability to import Build Text node specifications into a Model Build node
Prediction Result Explanations
Scoring details that explain predictive result
Generalized Linear Models New Algorithm Settings
New algorithm settings provide feature selection and generation