ISBN-10:
0470149019
ISBN-13:
9780470149010
Pub. Date:
07/27/2007
Publisher:
Wiley
Data Mining Using SAS Enterprise Miner / Edition 1

Data Mining Using SAS Enterprise Miner / Edition 1

by Randall Matignon

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Product Details

ISBN-13: 9780470149010
Publisher: Wiley
Publication date: 07/27/2007
Series: Wiley Series in Computational Statistics
Pages: 584
Product dimensions: 8.60(w) x 11.00(h) x 1.28(d)

About the Author

Randall Matignon, MS, is Senior Clinical SAS / Microsoft Office VBA Programmer for Amgen, Inc. in San Francisco, California. He has over twenty years of experience as a statistical programmer and applications developer in the pharmaceutical, healthcare, and biotechnology industries, and he has a broad knowledge of several programming languages, including SAS, S-Plus, and PL-SQL.

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Table of Contents

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

What People are Saying About This

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“The book provides a good account of the numerical and computational approaches used within the various nodes and explains necessary background concepts.”(The American Statician, May 2009)

"…a very detailed user guide." (MAA Reviews, December 26, 2007)

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