portada Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (en Inglés)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (en Inglés)

Formato

Libro Físico

Autor

Daniel S. Putler

Robert E. Krider

Editorial

CRC Press

Idioma

Inglés

N° páginas

316

Encuadernación

Tapa Dura

ISBN13

9781138416512

N° edición

Categorías

Gestión y técnicas de gestión
Probabilidad y estadística
Minería de datos («data mining»)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (en Inglés)

Daniel S. Putler (Autor) · Robert E. Krider (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (en Inglés)"

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.