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Library,Documentation and Information Science Division

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Data mining applications with R / Yanchang Zhao and Yonghua Cen.

By: Contributor(s): Material type: TextTextPublication details: Amsterdam : Elsevier, 2014.Description: xxi, 470 p. : illustrations ; 25 cmISBN:
  • 9780124115118 (hardback)
Subject(s): DDC classification:
  • 006.312 23 Z63
Contents:
1. Power grid data analysis with R and Hadoop -- 2. Picturing Bayesian classifiers: a visual data mining approach to parameters optimization -- 3. Discovery of emergent issues and controversies in anthropology using text mining, topic modeling, and social network analysis of microblog content -- 4. Text mining and network analysis of digital libraries in R -- 5. Recommender systems in R -- 6. Response modeling in direct marketing: a data mining-based approach for target selection -- 7. Caravan insurance customer profile modeling with R -- 8. Selecting best features for predicting bank loan default -- 9. A Choquet integral toolbox and its application in customer preference analysis -- 10. A real-time property value index based on web data -- 11. Predicting seabed hardness using random forest in R -- 12. Supervised classification of images, applied to plankton samples using R and Zooimage -- 13. Crime analysis using R -- 14. Football mining with R -- 15. Analyzing internet DNS (SEC) traffic with R for resolving platform optimization-- Index.
Summary: Suitable for researchers and professionals to understand the use of R, a free software environment for statistical computing and graphics, in solving different problems in industry, this book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas.
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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 135705
Total holds: 0

Includes bibliographical references and index.

1. Power grid data analysis with R and Hadoop --
2. Picturing Bayesian classifiers: a visual data mining approach to parameters optimization --
3. Discovery of emergent issues and controversies in anthropology using text mining, topic modeling, and social network analysis of microblog content --
4. Text mining and network analysis of digital libraries in R --
5. Recommender systems in R --
6. Response modeling in direct marketing: a data mining-based approach for target selection --
7. Caravan insurance customer profile modeling with R --
8. Selecting best features for predicting bank loan default --
9. A Choquet integral toolbox and its application in customer preference analysis --
10. A real-time property value index based on web data --
11. Predicting seabed hardness using random forest in R --
12. Supervised classification of images, applied to plankton samples using R and Zooimage --
13. Crime analysis using R --
14. Football mining with R --
15. Analyzing internet DNS (SEC) traffic with R for resolving platform optimization--
Index.

Suitable for researchers and professionals to understand the use of R, a free software environment for statistical computing and graphics, in solving different problems in industry, this book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas.

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