Copyright © 2010, SAS Institute Inc. All rights reserved. Applied Analytics Using SAS ® Enterprise Miner™

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Presentation transcript:

Copyright © 2010, SAS Institute Inc. All rights reserved. Applied Analytics Using SAS ® Enterprise Miner™

2 Chapter 1 Introduction 1.1Introduction to SAS Enterprise Miner 1.2Solutions 2

3 Chapter 2 Accessing and Assaying Prepared Data 2.1Introduction 2.2Creating a SAS Enterprise Miner Project, Library, and Diagram 2.3Defining a Data Source 2.4Exploring a Data Source 2.5Chapter Summary 2.6Solutions 3

4 Chapter 3 Introduction to Predictive Modeling: Decision Trees 3.1Introduction 3.2Cultivating Decision Trees 3.3Optimizing the Complexity of Decision Trees 3.4Understanding Additional Diagnostic Tools (Self- Study) 3.5Autonomous Tree Growth Options (Self-Study) 3.6Chapter Summary 3.7Solutions 4

5 Chapter 4 Introduction to Predictive Modeling: Regressions 4.1Introduction 4.2Selecting Regression Inputs 4.3Optimizing Regression Complexity 4.4Interpreting Regression Models 4.5Transforming Inputs 4.6Categorical Inputs 4.7Polynomial Regressions (Self-Study) 4.8Chapter Summary 4.9Solutions 5

6 Chapter 5 Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools 5.1Introduction 5.2Input Selection 5.3Stopped Training 5.4Other Modeling Tools (Self-Study) 5.5Chapter Summary 5.6Solutions 6

7 Chapter 6 Model Assessment 6.1Model Fit Statistics 6.2Statistical Graphics 6.3Adjusting for Separate Sampling 6.4Profit Matrices 6.5Chapter Summary 6.6Solutions 7

8 Chapter 7 Model Implementation 7.1Introduction 7.2Internally Scored Data Sets 7.3Score Code Modules 7.4Chapter Summary 7.5Solutions to Exercises 8

9 Chapter 8 Introduction to Pattern Discovery 8.1Introduction 8.2Cluster Analysis 8.3Market Basket Analysis (Self-Study) 8.4Chapter Summary 8.5Solutions 9

10 Chapter 9 Special Topics 9.1Introduction 9.2Ensemble Models 9.3Variable Selection 9.4Categorical Input Consolidation 9.5Surrogate Models 9.6SAS Rapid Predictive Modeler 10

11 SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2011 SAS Institute Inc. Cary, NC, USA. All rights reserved. Prepared 18OCT2011.

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