Data mining applications with R /

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many diff...

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Bibliographic Details
Main Authors:	Zhao, Yanchang, 1977- (Author), Cen, Yonghua (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	Amsterdam ; Boston : Academic Press, an imprint of Elsevier, 2013.
Subjects:	Data mining > Industrial applications > Case studies. R (Computer program language) Exploration de données (Informatique) > Applications industrielles > Études de cas. R (Langage de programmation) COMPUTERS > General. Electronic books. Case studies Case studies. Études de cas.
Online Access:	Connect to the full text of this electronic book

Table of 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 analyses using R
14. Football mining with R
15. Analyzing Internet DNS(SEC) traffic with R for resolving platform optimization.