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R and data mining : examples and case studies

Author: Yanchang Zhao
Publisher: Amsterdam ; Boston : Academic Press, an imprint of Elsevier, [2013]
Edition/Format:   Print book : English : First editionView all editions and formats
Summary:
This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing  Read more...
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Document Type: Book
All Authors / Contributors: Yanchang Zhao
ISBN: 9780123969637 0123969638
OCLC Number: 827722823
Description: xv, 234 pages : illustrations ; 24 cm
Contents: Data import and export --
Data exploration --
Decision trees and random forest --
Regression --
Clustering --
Outlier detection --
Time series analysis and mining --
Association rules --
Text mining --
Social network analysis --
Case study 1. Analysis and forecasting of house price indices --
Case study 2. Customer response prediction and profit optimization --
Case study 3. Predictive modeling of big data with limited memory --
Online resources.
Responsibility: Yanchang Zhao, RDataMining.com.

Abstract:

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  Read more...

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