- Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
- Hardcover: 305 pages
- Publisher: Chapman and Hall/CRC; 1 edition (November 9, 2010)
- Language: English
- ISBN-10: 1439810184
- ISBN-13: 978-1439810187
- Product Dimensions: 0.8 x 6.2 x 9.2 inches
- Shipping Weight: 1.2 pounds (View shipping rates and policies)
- Average Customer Review: 22 customer reviews
- Amazon Best Sellers Rank: #934,823 in Books (See Top 100 in Books)
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Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) 1st Edition
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This is certainly one of the best books for a direct implementation of data mining algorithms. Another good point of the book is that for most of the problems there are different ways to solve them. … an invaluable resource for data miners, R programmers, as well as people involved in fields such as fraud detection and stock market prediction. If you’re serious about data mining and want to learn from experiences in the field, don’t hesitate!
―Sandro Saitta, Data Mining Research blog, May 2011
If you want to learn how to analyze your data with a free software package that has been built by expert statisticians and data miners, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software.
―Bernhard Pfahringer, University of Waikato, New Zealand
Both R novices and experts will find this a great reference for data mining.
―Intelligent Trading blog and R-bloggers, November 2010
About the Author
Luis Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.
Top customer reviews
This book did the job perfectly as it captures both R and data mining, and even though some may argue it is at a somewhat basic level, I think for people looking to transition into R, this is the best guide they will find.
I love learning new languages using a basic step practical examples. This book will not teach you the most complicated techniques used in data mining, but I never expected it to. I just wanted to know what to use to import the data, run analysis, visualize various aspects of it and then export or apply results.
Again for people coming from MatLab or Octave, this is a great book! (worked great for me)