Data Mining Applications with R

✍ Scribed by Yanchang Zhao, Yonghua Cen

Publisher: Academic Press
Year: 2013
Tongue: English
Leaves: 470
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 book

Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

R code, Data and color figures for the book are provided at the RDataMining.com website.

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