Rating:
(13 reviews)
Author: Graham Williams
ISBN : B00F3OUAH6
New from $41.59
Format: PDF
Direct download links available Free Data Mining with Rattle and R from mediafire, rapishare, and mirror link Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms.Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing.The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.Books with free ebook downloads available Free Data Mining with Rattle and R (Use R!) [Print Replica] [Kindle Edition]
- File Size: 11845 KB
- Print Length: 394 pages
- Publisher: Springer; 2011 edition (September 10, 2013)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00F3OUAH6
- Text-to-Speech: Not enabled
X-Ray:
- Lending: Not Enabled
- Amazon Best Sellers Rank: #185,195 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Free Data Mining with Rattle and R
I am so happy I decided to buy this book. From the first page it is clear the author writes in excellent, approachable style -- there is no single place where I could find the author shows off his knowledge, nope, Graham Williams really teaches so the reader could understand. He allows to make friends with data mining in painless way; I appreciate the fact the first approach to each technique is done via GUI frontend (Rattle), but then the internals of R are explained -- the name of the package is given, how Rattle calls this or that function behind the scene, and also how to interpret the outcome, so in the end it is not only about the clicking with mouse.
I find this book very valuable for two reasons -- the comfort it provides (scientific book, and you want to read more and more), and it helps you focus on modeling the data, tweaking, etc (big plus for emphasis on training, validation and testing the models). However it is introductory book (I just can wish every introductory book was so informative and friendly). It is not related to the topic of data mining, but I noticed with pleasure the clear voice for open implementations of algorithms -- I can only concur that public reviews and collaboration allow to move things forward in faster pace.
If you would like to learn by example what the data mining is, how to apply, compare various algorithms this is the book for you. If you already know that and you would like to translate your knowledge to R, to some degree I would also recommend this book. This is not a book for learning R per se, so if you don't know the R it won't teach you that (rather make you a bit familiar), but don't worry, you can stick with GUI.
The book is not perfect though.
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