New Book: Data Mining with Rattle and R

With a focus on the hands-on end-to-end data mining process, the book guides the reader using open source Rattle software built on R platform.

Graham Williams, Data Mining with Rattle and R:
The Art of Excavating Data for Knowledge Discovery. Springer, New York, 2011

Throughout this book the reader is introduced to the basic concepts of data mining as well as some of the more popular algorithms. A goal is to simply explain the algorithms in easily understandable terms. With a focus also on the hands-on end-to-end process for data mining, the book 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 is on doing data mining rather than just reading about data mining.

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.

Information about Rattle is available from rattle.togaware.com and can be freely downloaded from the R Project.