This book is about learning how to use R for performing data mining.
The book follows a "learn by doing it" approach to data mining instead of the more frequent theoretical description of the techniques available in this discipline. This is accomplished by presenting a series of illustrative case studies for which all necessary steps, code and data are provided to the reader.
The book writing style establishes it as a good source for practical classes on data mining, but also as an attractive document to professionals working on data mining in non-academic environments.
Most of the main data mining processes and techniques are covered in the book by means of the presentation of four detailed case studies:
Predicting algae blooms
Predicting stock market returns
Detecting fraudulent transactions
Classifying microarray samples
- Data_Mining_with_R-Learning_with_Case_Studies%28Luis_Torgo_2011%29.pdf