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 |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press
©2012
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| Colección: | Chapman & Hall/CRC the R series
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| Materias: | |
| Ver en Universidad Pontificia de Salamanca: | https://catalogo.upsa.es/cgi-bin/koha/opac-detail.pl?biblionumber=356136 |
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| Formulario
| Sumario: | 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.
The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.
Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities. |
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| Descripción Física: | XXVI, 289 páginas |
| Bibliografía: | Includes bibliographical references (p. 283-285) and index. |
| ISBN: | 9781466503960 |
