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Customer and business analytics : applied data mining for business decision making using R /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
©2012.
|
| Colección: | Chapman & Hall/CRC the R series (CRC Press)
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Putler, Daniel S., |e author. | |
| 245 | 1 | 0 | |a Customer and business analytics : |b applied data mining for business decision making using R / |c Daniel S. Putler, Robert E. Krider. |
| 260 | |a Boca Raton, FL : |b CRC Press, |c ©2012. | ||
| 300 | |a 1 online resource (xxvi, 289 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC the R series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references (pages 283-285). | ||
| 505 | 0 | |a 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. | |
| 520 | 3 | |a 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. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Database marketing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Decision making |x Data processing. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Bases de données |x Marketing. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Prise de décision |x Informatique. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a R (Computer program language) |2 bisacsh | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Database management. |2 fast |0 (OCoLC)fst00888037 | |
| 650 | 7 | |a Database marketing. |2 fast |0 (OCoLC)fst00888055 | |
| 650 | 7 | |a Decision making |x Data processing. |2 fast |0 (OCoLC)fst00889041 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 7 | |a Software. |2 fast |0 (OCoLC)fst01411640 | |
| 700 | 1 | |a Krider, Robert E., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Putler, Daniel S. |t Customer and business analytics. |d Boca Raton, FL : CRC Press, ©2012 |z 9781466503960 |w (DLC) 2012008925 |w (OCoLC)756596227 |
| 830 | 0 | |a Chapman & Hall/CRC the R series (CRC Press) | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781466503984/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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