TY  - BOOK
AU  - 
TI  - R and data mining: examples and case studies 
SN  - 9780123969637 (alk. paper)
U1  - 006.312 23
PY  - 2013///
CY  - Amsterdam
PB  - Academic Press
KW  - R (Computer program language)
KW  - Data mining
N1  - Includes bibliographical references and indexes; 1. Introduction--
2. Data import and export --
3. Data exploration --
4. Decision trees and random forest --
5. Regression --
6. Clustering --
7. Outlier detection --
8. Time series analysis and mining --
9. Association rules --
10. Text mining --
11. Social network analysis --
12. Case study I: Analysis and forecasting of house price indices --
13. Case study II: Customer response prediction and profit optimization --
14. Case study III: Predictive modeling of big data with limited memory --
15. Online resources--

R Reference Card for Data Mining--
Bibliography--
General Index--
Package Index--
Function Index--
N2  - Introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. This book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data
ER  -