Data Mining Using SAS Enterprise Miner: A Case Study Approach, 2nd Edition

Data mining enables you to discover valuable hidden information in your data and use it to solve your business problems. This introductory guide to data mining uses a case study approach that takes you through the SAS Enterprise Miner interface from initial data access to several completed analyses, such as predictive modeling, clustering analysis, association analysis, and link analysis. If you are a new SAS Enterprise Miner user, you will find this friendly guide to be an invaluable resource as you navigate the interface. After completing the case studies in this guide, you will be prepared to tackle the more complicated statistical analyses that are covered in the SAS Enterprise Miner online reference documentation.

Table of Contents

Chapter 1 Introduction to SAS Enterprise Miner
Chapter 2 Predictive Modeling
Chapter 3 Variable Selection
Chapter 4 Clustering Tools
Chapter 5 Association Analysis
Chapter 6 Link Analysis
Appendix 1 Recommended Reading