Putler, Daniel S.

Customer and business analytics: applied data mining for business decision making using R Putler, Daniel S. - Boca Raton CRC Press 2012 - xxvi, 289 p. - Chapman & Hall/CRC the R Series . - Chapman & Hall/CRC the R series. .

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.


Database marketing - Software
Data mining
Decision making - Data processing
R - Computer program language
Database management

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