• Contents
  • About
  • Introduction to SAS Enterprise Miner 5.3 Software
    • Data Mining Overview
    • Layout of the Enterprise Miner Window
    • Organization and Uses of Enterprise Miner Nodes
    • Usage Rules for Nodes
    • Overview of the SAS Enterprise Miner 5.3 Getting Started Example
    • Example Problem Description
    • Software Requirements
  • Setting Up Your Project
    • Create a New Project
    • Example Data Description
    • Locate and Install the Example Data
    • Configure the Example Data
    • Define the Donor Data Source
    • Create a Diagram
    • Other Useful Tasks and Tips
  • Working with Nodes That Sample, Explore, and Modify
    • Overview of This Group of Tasks
    • Identify Input Data
    • Generate Descriptive Statistics
    • Create Exploratory Plots
    • Partition the Raw Data
    • Replace Missing Data
  • Working with Nodes That Model
    • Overview of This Group of Tasks
    • Basic Decision Tree Terms and Results
    • Create a Decision Tree
    • Create an Interactive Decision Tree
  • Working with Nodes That Modify, Model, and Explore
    • Overview of This Group of Tasks
    • About Missing Values
    • Impute Missing Values
    • Create Variable Transformations
    • Develop a Stepwise Logistic Regression
    • Preliminary Variable Selection
    • Develop Other Competitor Models
  • Working with Nodes That Assess
    • Overview of This Group of Tasks
    • Compare Models
    • Score New Data
  • Sharing Models and Projects
    • Overview of This Group of Tasks
    • Create Model Packages
    • Using Saved Model Packages
    • View the Score Code
    • Register Models
    • Save and Import Diagrams in XML
  • Recommended Reading
  • Example Data Description
    • Example Data Description
  • Glossary


ProductRelease
SAS Enterprise Miner5.3
Type
Usage and Reference
Copyright Date
June 2008
Last Updated
18Dec2008