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|a Sarma, Kattamuri S.,
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|a Predictive modeling with SAS Enterprise Miner :
|b practical solutions for business applications /
|c Kattamuri S. Sarma.
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|a Third edition.
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|a Cary, NC :
|b SAS Institute,
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|c ©2017
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|a Online resource; title from title page (Safari, viewed September 8, 2017).
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|a Previous edition published: 2013.
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|a Includes bibliographical references and index.
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520 |
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|a Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. --
|c Edited summary from book.
|
505 |
0 |
|
|a Chapter 1: Research Strategy -- Chapter 2: Getting Started with Predictive Modeling -- Chapter 3: Variable Selection and Transformation of Variables -- Chapter 4: Building Decision Tree Models to Predict Response and Risk -- Chapter 5: Neural Network Models to Predict Response and Risk -- Chapter 6: Regression Models -- Chapter 7: Comparison and Combination of Different Models -- Chapter 8: Customer Profitability -- Chapter 9: Introduction to Predictive Modeling with Textual Data.
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|a Sarma, Kattamuri S.
|t Predictive modeling with SAS Enterprise Miner.
|b Third edition.
|d ©2017
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