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.
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