Contents
About
Title Page
About This Book
Introduction to SAS Enterprise Miner 6.1
What Is SAS Enterprise Miner?
How Does SAS Enterprise Miner Work?
Benefits of Using SAS Enterprise Miner
Accessibility Features of SAS Enterprise Miner 6.1
Getting to Know the Graphical User Interface
Learning by Example: Building and Running a Process Flow
About the Scenario in This Book
Prerequisites for This Example
Set Up the Project
About the Tasks That You Will Perform
Create a New Project
Create a Library
Create a Data Source
Create a Diagram and Add the Input Data Node
Explore the Data and Replace Input Values
About the Tasks That You Will Perform
Generate Descriptive Statistics
Create Exploratory Plots
Partition the Data
Replace Missing Values
Build Decision Trees
About the Tasks That You Will Perform
Automatically Train and Prune a Decision Tree
Interactively Train a Decision Tree
Impute and Transform, Build Neural Networks, and Build a Regression Model
About the Tasks That You Will Perform
Impute Missing Values
Transform Variables
Analyze with a Logistic Regression Model
Analyze with a User-Specified Neural Network Model
Analyze with an Automatically Selected Neural Network Model
Compare Models and Score New Data
About the Tasks That You Will Perform
Compare Models
Score New Data
Create a Sorted List of Potential Donors
SAS Enterprise Miner Node Reference
About Nodes
Usage Rules for Nodes
Sample Data Reference
Glossary
Product
Release
SAS Enterprise Miner
6.1
Type
Usage and Reference
Copyright Date
December 2009
Last Updated
29Jan2010