| Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R Contributor(s): Putler, Daniel S. (Author), Krider, Robert E. (Author) |
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ISBN: 1466503963 ISBN-13: 9781466503960 Publisher: CRC Press OUR PRICE: $94.95 Product Type: Paperback - Other Formats Published: May 2012 |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Mathematics | Probability & Statistics - General - Business & Economics | Management Science |
| Dewey: 658.403 |
| LCCN: 2012008925 |
| Series: Chapman & Hall/CRC the R |
| Physical Information: 0.7" H x 6.9" W x 9.9" (1.15 lbs) 316 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |