Publication Date: November 9, 2010 ISBN-10: 1,439,810,184 ISBN-13 :978-1439810187 Edition: 1
The versatile capabilities and large group of additional packages make R an excellent alternative to many existing and often expensive data mining tools. Explore from a doctor’s point of view, this aspect of data mining with R: learning with case studies, practical examples to illustrate the power of R and data mining.
Assuming no prior knowledge of R or data mining / statistical techniques, this book covers the goals of a group of different sizes and types of data, analysis, and analysis tools bring different challenges. The main data mining processes and technology, hands-on approach is required, it is the use of a series of detailed, real-world case study:
Prediction of algal blooms
Predict stock market returns
Detect fraudulent transactions
The chip sample the classification
These case studies, to provide all the necessary steps, code and data.
Network resources
A support website to reflect the text to make it their own methods. It provides a freely available R source files, including the collection of all code used in the case studies. The site also provides a set of data from the case studies, as well as an R package a variety of functions.
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