1. 1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

2. 2 SAS Enterprise Miner

3. 3 SAS Enterprise Miner – Interface Tour Menu bar and shortcut buttons

4. 4 SAS Enterprise Miner – Interface Tour Project panel

5. 5 SAS Enterprise Miner – Interface Tour Properties panel

6. 6 SAS Enterprise Miner – Interface Tour Help panel

7. 7 SAS Enterprise Miner – Interface Tour Diagram workspace

8. 8 SAS Enterprise Miner – Interface Tour Process flow

9. 9 SAS Enterprise Miner – Interface Tour Node

10. 10 SAS Enterprise Miner – Interface Tour SEMMA tools palette

11. 11 SEMMA – Sample Tab Append Data Partition File Import Filter Input Data Merge Sample Time Series

12. 12 SEMMA – Explore Tab Association Cluster DMDB Graph Explore Market Basket Multiplot Path Analysis SOM/Kohonen StatExplore Variable Clustering Variable Selection

13. 13 SEMMA – Modify Tab Drop Impute Interactive Binning Principal Components Replacement Rules Builder Transform Variables

14. 14 SEMMA – Model Tab AutoNeural Decision Tree Dmine Regression DMNeural Ensemble Gradient Boosting Least Angle Regression MBR Model Import Neural Network Partial Least Squares Regression Rule Induction Two Stage

15. 15 SEMMA – Assess Tab Cutoff Decisions Model Comparison Segment Profile Score

16. 16 Beyond SEMMA – Utility Tab Control Point End Groups Metadata Reporter SAS Code Start Groups

17. 17 Credit Scoring Tab (Optional) Credit Exchange Interactive Grouping Reject Inference Scorecard

18. 18 The Analytic Workflow Analytic workflow Define analytic objective Select cases Extract input data Validate input data Repair input data Apply analysis Transform input data Generate deployment methods Integrate deployment Gather results Assess observed results Refine analytic objective

19. 19 SAS Enterprise Miner Analytic Strengths Predictive Modeling Pattern Discovery

20. 20 Applied Analytics Case Studies Bank usage segmentation Web services associations University enrollment prediction Credit risk scoring