| Description |
1 online resource (xxvi, 289 pages) : illustrations |
| Series |
Chapman & Hall/CRC the R series |
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Chapman & Hall/CRC the R series (CRC Press)
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| Bibliography |
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. |
| Subject |
Database marketing.
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Data mining.
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Decision making -- Data processing.
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R (Computer program language)
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Database management.
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Bases de données -- Marketing. |
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Exploration de données (Informatique) |
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Prise de décision -- Informatique. |
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R (Langage de programmation) |
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Bases de données -- Gestion. |
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Data mining |
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Database management |
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Database marketing |
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Decision making -- Data processing |
|
R (Computer program language) |
| Genre |
Electronic books.
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|
Software
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| Added Author |
Krider, Robert E., author.
|
| Other Form: |
Print version: Putler, Daniel S. Customer and business analytics. Boca Raton, FL : CRC Press, ©2012 9781466503960 (DLC) 2012008925 (OCoLC)756596227 |
| ISBN |
9780429185687 (ebook) |
|
0429185685 (ebook) |
|
146650398X (ebook) |
|
9781466503984 (ebook) |
|
(alk. paper) |
|
(alk. paper) |
|
(print) |
|
(print) |
| Standard No. |
KE34548 |
|
9781466503984 |
|
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