Data mining applications with R

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 diff...

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Main Authors: Zhao, Yanchang, Cen, Yonghua (Author)
Format: eBook
Language:English
Published: Amsterdam Elsevier/Academic Press [2014]©2014, 2014
Subjects:
Online Access:
Collection: Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa
Summary: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. R code, Data and color figures for the book are provided at the RDataMining.com website. 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
Physical Description:online resource (xxi, 470 pages) illustrations (some color)
ISBN:9781306167796
0124115209
1306167795
012411511X
9780124115200
9780124115118