Predictive modeling with SAS Enterprise Miner : practical solutions for business applications / Kattamuri S. Sarma.

Author/creator Sarma, Kattamuri S. author.
Other author SAS Institute, publisher.
Format Electronic
EditionThird edition.
PublicationCary, NC : SAS Institute, [2017]
Copyright Date©2017
Description1 online resource (1 volume) : illustrations
Supplemental ContentEBSCOhost
Subjects

Contents 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.
Abstract 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. -- Edited summary from book.
General notePrevious edition published: 2013.
Bibliography noteIncludes bibliographical references and index.
Source of descriptionOnline resource; title from title page (Safari, viewed September 8, 2017).
Issued in other formPrint version: Sarma, Kattamuri S. Predictive modeling with SAS Enterprise Miner. Third edition. ©2017 1629602647 9781629602646
Genre/formElectronic books.
ISBN9781635260380 (electronic bk.)
ISBN1635260388 (electronic bk.)
Stock numberCL0500000890 Safari Books Online

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available