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Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner.
Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition
If you are a graduate student, researcher, or statistician interested in predictive modeling; a data mining expert who wants to learn SAS Enterprise Miner; or a business analyst looking for an introduction to predictive modeling using SAS Enterprise Miner, you'll be able to develop predictive models quickly and effectively using the theory and examples presented in this book.
Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. You'll gain a comprehensive awareness of how to find solutions for your business needs. This second edition features expanded coverage of the SAS Enterprise Miner nodes, now including File Import, Time Series, Variable Clustering, Cluster, Interactive Binning, Principal Components, AutoNeural, DMNeural, Dmine Regression, Gradient Boosting, Ensemble, and Text Mining.
Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner.
- Sales Rank: #42398 in Books
- Published on: 2013-12-12
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 1.13" w x 8.50" l, 2.54 pounds
- Binding: Paperback
- 500 pages
Review
"Once again, Sarma has written a great book. His step-by-step directions make the content very clear, and the new screen shots are beautiful. Both make it very easy to follow the text and replicate the steps with your own data in your own work." --Andrea Wainwright-Zimmerman, SAS Programmer Analyst, SESUG 2013 Academic Conference Chair
"Predictive Modeling with SAS Enterprise Miner is a comprehensive, soup-to-nuts, how-to manual for SAS Enterprise Miner that showcases (with great detail) the power of the application, from data handling and scrubbing through model development. With the second edition of this book, Kattamuri Sarma extends the use of SAS Enterprise Miner 12.1 to new areas of modeling, such as text mining. As before, the book provides a helpful companion for modelers using SAS Enterprise Miner with a variety of goals and objectives in mind. The book draws upon the author's considerable industry experience, with realistic examples provided from finance and insurance, marketing analytics, and other areas of application. There is, in other words, something here for modelers of every stripe." --Lee Medoff, Statistician
About the Author
Kattamuri S. Sarma, PhD, is an economist and statistician with 30 years of experience in American business, including stints with IBM and AT&T. He is the founder and president of Ecostat Research Corp., a consulting firm specializing in predictive modeling and forecasting. Over the years, Dr. Sarma has developed predictive models for the banking, insurance, telecommunication, and technology industries. He has been a SAS user since 1992, and he has extensive experience with multivariate statistical methods, econometrics, decision trees, and data mining with neural networks. The author of numerous professional papers and publications, Dr. Sarma is a SAS Certified Professional and a SAS Alliance Partner. He received his bachelor's degree in mathematics and his master's degree in economic statistics from universities in India. Dr. Sarma received his PhD in economics from the University of Pennsylvania, where he worked under the supervision of Nobel Laureate Lawrence R. Klein.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Alright book
By Kristie Canaday
Arrived in mostly good condition. There was some slight wear around the edges, but nothing serious.
The book itself is decent. I'm learning to use SAS in grad school and this was one of the required texts. Not the best book I've had, but definitely not the worst.
2 of 2 people found the following review helpful.
An excellent resource for learning SAS Enterprise Miner and a great reference
By RenuG
I have read a number of books SAS Enterprise Miner book but this book easily tops them all. It is extremely well organized and thorough. Each section (sub section and even sub-sub section) has detailed 'how to' instructions so that the reader can practice with downloaded datasets. The author does a great job explaining the ideas behind the software and its capabilities. He also does a fabulous job explaining the math and theory behind techniques.
0 of 0 people found the following review helpful.
Excellent book.
By Edgar
The book is what I expected, well written not only the mathematical background but also the step by step of doing on SAS Enterprise Miner. This was my eighth book about SAS and I really liked it. The only part I didn't like was in some pages the printed is not good. I really recommend this book!
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