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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R.
・ISBN 978-1-138-41651-2 hard GB£ 210.00
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| 著者・編者 | Putler, Daniel S. / Krider, Robert E., |
|---|---|
| シリーズ | (Chapman & Hall/CRC The R Series) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2017 |
| ページ数 | 316 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-7915＞ |
解説
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.