Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R, 1st Edition (Hardback) book cover

Customer and Business Analytics

Applied Data Mining for Business Decision Making Using R, 1st Edition

By Daniel S. Putler

Chapman and Hall/CRC

Purchasing Options:$ = USD
Paperback: 9781466503960
pub: 2012-05-07
$83.95
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Hardback: 9781138416512
pub: 2017-07-27
$205.00
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eBook (VitalSource) : 9780429185687
pub: 2012-05-07
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Description

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.

Subject Categories

BISAC Subject Codes/Headings:
BUS042000
BUSINESS & ECONOMICS / Management Science