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...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2012.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC the R series (CRC Press)
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628204506719 |
Tabla de Contenidos:
- Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I: Purpose and Process; 1. Database Marketing and Data Mining; 2. A Process Model for Data Mining-CRISP-DM; II: Predictive Modeling Tools; 3. Basic Tools for Understanding Data; 4. Multiple Linear Regression; 5. Logistic Regression; 6. Lift Charts; 7. Tree Models; 8. Neural Network Models; 9. Putting It All Together; III: Grouping Methods; 10. Ward's Method of Cluster Analysis and Principal Components; 11. K-Centroids Partitioning Cluster Analysis; Bibliography
