Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery Tapa blanda - 2011
de Graham Williams
Descripción de contraportada
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 torapidly 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.
Detalles
- Título Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
- Autor Graham Williams
- Encuadernación Tapa blanda
- Edición [ Edition: first
- Páginas 374
- Volúmenes 1
- Idioma ENG
- Editorial Springer
- Fecha de publicación 2011-08-04
- Ilustrado Sí
- Features Bibliography, Illustrated, Index, Table of Contents
- ISBN 9781441998897 / 1441998896
- Peso 1.2 libras (0.54 kg)
- Dimensiones 9.1 x 6.1 x 0.9 pulgadas (23.11 x 15.49 x 2.29 cm)
- Dewey Decimal Code 006.312
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