Book Reviews

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications

978-1-59047-703-8

"The author is congratulated and appreciated for writing such a practical and useful book for both entry-level and seasoned practitioners. It provides very clear step-by-step instruction using various case examples. In addition, it also provides the explanation of essential theoretical background in each modeling technique.

As an instructor, I think this is an excellent textbook for introducing predictive modeling using SAS Enterprise Miner, and I plan to use it for my class. "

Carl Lee, Ph.D.
Professor of Statistics
Data Mining Program Coordinator
Central Michigan University


"Kattamuri Sarma has written a practical guide that will be of use to modeling professionals of all backgrounds and levels of experience. In it he shows us the power of SAS Enterprise Miner to enhance the modeling process in a way that is straightforward, easy to follow, and thorough. From data scrubbing to model fitting, each step in the model building process is described in a clear manner. The book draws on the author's extensive real-world experience to illustrate the ways in which Enterprise Miner can help to facilitate the modeling process.

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications is destined to become the definitive guide to the use of SAS Enterprise Miner, and should be considered an indispensable resource for modelers who want a better understanding of the software's capabilities. "

Lee Medoff
SAS User


"I'm very impressed. The text is clear, and follows a logical flow. Step-by-step directions with screen shots help those new to SAS Enterprise Miner. The details give good support, without being too overwhelming."

Andrea Wainwright-Zimmerman
Senior statistical analysis manager


"I think this book will be very helpful to new users of Enterprise Miner. It presents many examples in a way that puts the material across clearly. I especially liked the chapters on decision trees and neural nets for their detailed exposition. I also was pleased to see many cases where the author shows the SAS code behind the scenes. I think Dr. Sarma did a fine job."

Rich Perline, Ph.D.
Senior Scientist
NuTech Solutions, Inc.