Customer and Business Analytics Applied Data Mining for Business Decision Making Using R by Daniel S. Putler
By: Daniel S. Putler
Publisher: Chapman and Hall/CRC
Print ISBN: 9781466503960, 1466503963
eText ISBN: 9781466503991, 1466503998
Edition: 1st
Copyright year: 2012
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.
Additional ISBNs
9781466515642|9781466503984|9781466503991, 1466515643|146650398X|1466503998, 9781138416512, 1138416517
