Data Mining and Business Analytics with R
$325.78
- Hardcover
368 pages
- Release Date
16 May 2013
Summary
Unlock Insights: Data Mining and Business Analytics with R
Collecting, analyzing, and extracting valuable information from large datasets demands accessible, robust computational tools. Data Mining and Business Analytics with R leverages the open-source R software for analyzing, exploring, and simplifying high-dimensional datasets. Readers gain essential guidance to model and interpret complex data, mastering the creation of powerful prediction and classification models.
Book Details
| ISBN-13: | 9781118447147 |
|---|---|
| ISBN-10: | 111844714X |
| Author: | Johannes Ledolter |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 368 |
| Edition: | 1st |
| Release Date: | 16 May 2013 |
| Weight: | 680g |
| Dimensions: | 236mm x 158mm x 25mm |
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What They're Saying
Critics Review
“I first taught a Ph.D. level course in business applications of data mining 10 years ago. I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics. I plan to use it. Anyone who teaches such a class and is inclined toward R should consider this text.” (Journal of the American Statistical Association, 1 January 2014)
About The Author
Johannes Ledolter
JOHANNES LEDOLTER, PhD, is Professor in both the Department of Management Sciences and the Department of Statistics and Actuarial Science at the University of Iowa. He is a Fellow of the American Statistical Association and the American Society for Quality, and an Elected Member of the International Statistical Institute. Dr. Ledolter is the coauthor of Statistical Methods for Forecasting, Achieving Quality Through Continual Improvement, and Statistical Quality Control: Strategies and Tools for Continual Improvement, all published by Wiley.
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