Data Mining Applications with R
Book Details:
| Publisher: | Academic Press |
| Series: | Academic Press |
| Author: | Yanchang Zhao |
| Edition: | 1 |
| ISBN-10: | 012411511X |
| ISBN-13: | 9780124115118 |
| Pages: | 514 |
| Published: | Dec 26 2013 |
| Posted: | Dec 04 2014 |
| Language: | English |
| Book format: | |
| Book size: | 17.59 MB |
Book Description:
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. The bookHelps data miners to learn to use R in their specific area of work and see how R can apply in different industriesPresents various case studies in real-world applications, which will help readers to apply the techniques in their workProvides code examples and sample data for readers to easily learn the techniques by running the code by themselvesR code, Data and color figures for the book are provided at the RDataMining.com website.
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