Customer and Business Analytics - Applied Data Mining for Business Decision Making Using R (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United States
Series:	Chapman & Hall/CRC The R Series
Release date:	May 2012
First published:	2012
Authors:	Daniel S. Putler • Robert E. Krider
Dimensions:	246 x 174 x 20mm (L x W x T)
Format:	Paperback
Pages:	315
ISBN-13:	978-1-4665-0396-0
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
LSN:	1-4665-0396-3
Barcode:	9781466503960

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