Data Mining with Rattle and R is popular PDF and ePub book, written by Graham Williams in 2011-08-04, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Mining with Rattle and R can be Read Online from any device for your convenience.
Data Mining with Rattle and R Book PDF Summary
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.
Detail Book of Data Mining with Rattle and R PDF
- Author : Graham Williams
- Release : 04 August 2011
- Publisher : Springer Science & Business Media
- ISBN : 9781441998903
- Genre : Mathematics
- Total Page : 382 pages
- Language : English
- PDF File Size : 19,8 Mb
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