R and Data Mining: Examples and Case Studies
Author: Yanchang Zhao
This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
- Presents an introduction into using R for data mining applications, covering most popular data mining techniques
- Provides code examples and data so that readers can easily learn the techniques
- Features case studies in real-world applications to help readers apply the techniques in their work and studies
The R code and data for the book are provided on the RDataMining website.
The book helps researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For the many universities that have courses on data mining, this book is an invaluable reference for students studying data mining and its related subjects. In addition, it is a useful resource for anyone involved in industrial training courses on data mining and analytics. The concepts in this book help readers as R becomes increasingly popular for data mining applications.
