<p>目录如下：</p><p>Chapter 1 &#1048576; Introduction to SAS Enterprise Miner 5.3 Software 1<br/>Data Mining Overview 1<br/>Layout of the Enterprise Miner Window 2<br/>Organization and Uses of Enterprise Miner Nodes 8<br/>Usage Rules for Nodes 19<br/>Overview of the SAS Enterprise Miner 5.3 Getting Started Example 19<br/>Example Problem Description 20<br/>Software Requirements 22<br/>Chapter 2 &#1048576; Setting Up Your Project 23<br/>Create a New Project 23<br/>Example Data Description 26<br/>Locate and Install the Example Data 26<br/>Configure the Example Data 26<br/>Define the Donor Data Source 29<br/>Create a Diagram 43<br/>Other Useful Tasks and Tips 44<br/>Chapter 3 &#1048576; Working with Nodes That Sample, Explore, and Modify 45<br/>Overview of This Group of Tasks 45<br/>Identify Input Data 45<br/>Generate Descriptive Statistics 46<br/>Create Exploratory Plots 51<br/>Partition the Raw Data 54<br/>Replace Missing Data 55<br/>Chapter 4 &#1048576; Working with Nodes That Model 61<br/>Overview of This Group of Tasks 61<br/>Basic Decision Tree Terms and Results 61<br/>Create a Decision Tree 62<br/>Create an Interactive Decision Tree 75<br/>Chapter 5 &#1048576; Working with Nodes That Modify, Model, and Explore 103<br/>Overview of This Group of Tasks 103<br/>About Missing Values 103<br/>Impute Missing Values 104<br/>Create Variable Transformations 105<br/>Develop a Stepwise Logistic Regression 121<br/>Preliminary Variable Selection 125<br/>Develop Other Competitor Models 128<br/>Chapter 6 &#1048576; Working with Nodes That Assess 135</p><p>Overview of This Group of Tasks 135<br/>Compare Models 135<br/>Score New Data 139<br/>Chapter 7 &#1048576; Sharing Models and Projects 153<br/>Overview of This Group of Tasks 153<br/>Create Model Packages 154<br/>Using Saved Model Packages 155<br/>View the Score Code 157<br/>Register Models 158<br/>Save and Import Diagrams in XML 160<br/>Appendix 1 &#1048576; Recommended Reading 163<br/>Recommended Reading 163<br/>Appendix 2 &#1048576; Example Data Description 165<br/>Example Data Description 165<br/>Glossary 169<br/>Index 175</p>

<p>好东西呢~</p><p>SAS很强大!</p>

很强很庞大……

Thank you very much

楼主，很详细和具体！