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Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition Paperback – 12 December 2013

3.7 out of 5 stars 29
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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.

Previous page
  1. Print length
    500 pages
  2. Language
    English
  3. Publisher
    SAS Institute
  4. Publication date
    12 December 2013
  5. Dimensions
    21.59 x 3.18 x 27.31 cm
  6. ISBN-10
    1607647672
  7. ISBN-13
    978-1607647676
  8. See all details
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Product description

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.

Product details

  • Publisher ‏ : ‎ SAS Institute; 2 edition (12 December 2013)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 500 pages
  • ISBN-10 ‏ : ‎ 1607647672
  • ISBN-13 ‏ : ‎ 978-1607647676
  • Dimensions ‏ : ‎ 21.59 x 3.18 x 27.31 cm
  • Customer Reviews:
    3.7 out of 5 stars 29

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Kattamuri S. Sarma

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Nirmal
5.0 out of 5 stars Good to know about SAS EM
Reviewed in Canada on 11 December 2017
Verified Purchase
It is very detail and self-explanatory.
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Michell Rojo Morgado
5.0 out of 5 stars Excelente
Reviewed in Mexico on 11 February 2017
Verified Purchase
Es un excelente libro para aprender a utilizar SAS enterprise Miner, contiene teoría y casos aplicados a negocios, en conjunto con el primer cuso de Miner se puede obtener la certificación de predictive modeler with SAS Enterprise Miner.
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Sandy
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on 11 March 2017
Verified Purchase
Really useful used daily
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Garden Goddess
5.0 out of 5 stars SAS Enterprise Miner guide if you need to learn it quickly
Reviewed in the United States on 13 December 2015
Verified Purchase
Good explanations of the nodes, with examples. This got me through a class project using SAS after getting very little instruction in school. A life saver for me, and I learned a lot too that I would not have gotten out of my class otherwise. The SAS website has tutorials and some videos that help as well, for those who find themselves in the same boat. The author explains some of the settings for nodes, too, so you're not guessing at it, which helped with cluster analysis. Helpful if you need to crunch data but don't have a Phd in math.
One person found this helpful
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Bo Gianluca
4.0 out of 5 stars Buono
Reviewed in Italy on 9 August 2015
Verified Purchase
Darei tre e mezzo, ma non è possibile. Dà una buona panoramica sugli strumenti di SAS EM, con casi pratici abbasatnza vari.
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