• Contents
  • About
  • About This Book
  • Introduction to SAS Enterprise Miner 14.1
    • What Is SAS Enterprise Miner?
    • How Does SAS Enterprise Miner Work?
    • Benefits of Using SAS Enterprise Miner
    • Accessibility Features of SAS Enterprise Miner 14.1
    • 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
    • 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
    • Create a Gradient Boosting Model of the Data
  • 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 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
  • Recommended Reading
  • Glossary


ProductRelease
SAS Enterprise Miner14.1
Type
Getting Started
Copyright Date
July 2015
Last Updated
14Jul2015