Data Mining Using SAS Enterprise Miner

Introduction

Chapter 1: Sample Nodes 1

1.1 Input Data Source Node 3

1.2 Sampling Node 32

1.3 Data Partition Node 45

Chapter 2: Explore Nodes 55

2.1 Distribution Explorer Node 57

2.2 Multiplot Node 64

2.3 Insight Node 74

2.4 Association Node 75

2.5 Variable Selection Node 99

2.6 Link Analysis Node 120

Chapter 3: Modify Nodes 153

3.1 Data Set Attributes Node 155

3.2 Transform Variables Node 160

3.3 Filter Outliers Node 169

3.4 Replacement Node 178

3.5 Clustering Node 192

3.6 SOMiKohonen Node 227

3.7 Time Series Node 248

3.8 Interactive Grouping Node 261

Chapter 4: Model Nodes 277

4.1 Regression Node 279

4.2 Model Manager 320

4.3 Tree Node 324

4.4 Neural Network Node 355

4.5 PrincompiDmneural Node 420

4.6 User Defined Node 443

4.7 Ensemble Node 450

4.8 Memory-Based Reasoning Node 460

4.9 Two Stage Node 474

Chapter 5: Assess Nodes 489

5.1 Assessment Node 491

5.2 Reporter Node 511

Chapter 6: Scoring Nodes 515

6.1 Score Node 517

Chapter 7: Utility Nodes 525

7.1 Group Processing Node 527

7.2 Data Mining Database Node 537

7.3 SAS Code Node 541

7.4 Control point Node 552

7.5 Subdiagram Node 553

References 557

Index 560