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R and data mining : examples and case studies / Yangchang Zhao.

By: Material type: TextTextPublication details: Amsterdam : Academic Press, c2013.Description: xiii, 234 p. : illustrations ; 24 cmISBN:
  • 9780123969637 (alk. paper)
Subject(s): DDC classification:
  • 006.312 23 Z63
Contents:
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--
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 Z63 (Browse shelf(Opens below)) Available C26299
Books ISI Library, Kolkata 006.312 Z63 (Browse shelf(Opens below)) Available 135350
Total holds: 0

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--

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.

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