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BL
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| Record Number
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855130
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| Main Entry
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Sarma, Kattamuri S.
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| Title & Author
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Predictive modeling with SAS Enterprise Miner : : practical solutions for business applications /\ Kattamuri S. Sarma.
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| Edition Statement
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Third edition.
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| Publication Statement
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Cary, NC :: SAS Institute,, [2017]
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, ©2017
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| Page. NO
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1 online resource (1 volume) :: illustrations
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| ISBN
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1635260388
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: 9781635260380
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1629602647
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9781629602646
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9781635260397
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9781635260403
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| Notes
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Previous edition published: 2013.
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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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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| Abstract
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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. --
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| Subject
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Business-- Data processing.
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Data mining.
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Regression analysis-- Computer programs.
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Statistics-- Data processing.
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BUSINESS ECONOMICS-- Industrial Management.
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BUSINESS ECONOMICS-- Management.
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Business-- Data processing.
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COMPUTERS-- Data Processing.
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Data mining.
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Regression analysis-- Computer programs.
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| Subject
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Statistics-- Data processing.
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| Subject
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Enterprise miner.
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SAS (Computer file)
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Enterprise miner.
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SAS (Computer file)
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| Dewey Classification
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658.05
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| LC Classification
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HF5548.2.S27P74 2017eb
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| Added Entry
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SAS Institute,publisher.
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