Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

By Daniel S. Putler

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.

• Format: Paperback
• Language: English
• ISBN: 1466503963
• ISBN13: 9781466503960
• Release Date: June 2012
• Publisher: CRC Press LLC
• Length: 316 Pages
• Weight: 1.15 lbs.
• Dimensions: 0.7" x 6.9" x 9.9"