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EBOOK
Author Putler, Daniel S.
Title Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider.
Imprint Boca Raton, FL : CRC Press, 2012.

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Series Chapman & Hall/CRC the R series.
Chapman & Hall/CRC the R series (CRC Press)
Subject Database marketing.
Data mining.
Decision making -- Data processing.
R (Computer program language)
Database management.
Alt Name Krider, Robert E.
Description 1 online resource (xxvi, 285 pages) : illustrations.
Bibliography Note Includes bibliographical references (pages 283-285).
Contents Part I I Purpose and Process -- chapter 1 Database Marketing and Data Mining -- chapter 2 A Process Model for Data Mining—CRISP-DM -- part II II Predictive Modeling Tools -- chapter 3 Basic Tools for Understanding Data -- chapter 4 Multiple Linear Regression -- chapter 5 Logistic Regression -- chapter 6 Lift Charts -- chapter 7 Tree Models -- chapter 8 Neural Network Models -- chapter 9 Putting It All Together -- part III III Grouping Methods -- chapter 10 Ward’s Method of Cluster Analysis and Principal Components -- chapter 11 K-Centroids Partitioning Cluster Analysis.
Summary Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.
Note Print version record.
ISBN 1466503963
9781466503960
9781466503960
9781466503984
146650398X
OCLC # 874011854
Additional Format Print version: Putler, Daniel S. Customer and business analytics. Boca Raton, FL : CRC Press, 2012 9781466503960 (DLC) 2012008925 (OCoLC)756596227.