[PDF.75hh] Data Mining Applications with R

Data Mining Applications with R

[PDF.wq02] Data Mining Applications with R

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 | #1655818 in Books |  Academic Press |  2013-12-26 | Original language:English | PDF # 1 |  9.25 x1.06 x7.52l,2.55 | File type: PDF | 514 pages

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||2 of 2 people found the following review helpful.| case-studies are very good for novices of data mining, but editing is poor.|By hxy0135 NJ|The contents(case-studies) are very good for people who are not so experienced in data mining field. I had hoped I could learn advanced data mining via step-by-step case analysis. But many R codes of the book cannot run and some dataset referenced in the R code cannot be found in the data| ||"The book contains a wealth of modern material that should be covered in more depth in statistics courses: for example, missing data, outlier detection, missing imputation, correlation coefficient matrices, principles of model selection, text mining, and d

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 illu...

You easily download any file type for your device.Data Mining Applications with R   |  Yanchang Zhao, Yonghua Cen. A good, fresh read, highly recommended.

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