Customer and Business Analytics_ Applied Data Mining for Business Decision Making using R [Putler & Krider 2012-05-07].pdf

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The R Series
Customer and
Business Analytics
Applied Data Mining for
Business Decision Making Using R
Daniel S. Putler
Robert E. Krider
Customer and
Business Analytics
Applied Data Mining for
Business Decision Making
Using R
Chapman & Hall/CRC
The R Series
Series Editors
John M. Chambers
Department of Statistics
Stanford University
Stanford, California, USA
Duncan Temple Lang
Department of Statistics
University of California, Davis
Davis, California, USA
Torsten Hothorn
Institut für Statistik
Ludwig-Maximilians-Universität
München, Germany
Hadley Wickham
Department of Statistics
Rice University
Houston, Texas, USA
Aims and Scope
This book series reflects the recent rapid growth in the development and application of R, the
programming language and software environment for statistical computing and graphics. R is
now widely used in academic research, education, and industry. It is constantly growing, with
new versions of the core software released regularly and more than 2,600 packages available.
It is difficult for the documentation to keep pace with the expansion of the software, and this
vital book series provides a forum for the publication of books covering many aspects of the
development and application of R.
The scope of the series is wide, covering three main threads:
• Applications of R to specific disciplines such as biology, epidemiology, genetics,
engineering, finance, and the social sciences.
• Using R for the study of topics of statistical methodology, such as linear and mixed
modeling, time series, Bayesian methods, and missing data.
• The development of R, including programming, building packages, and graphics.
The books will appeal to programmers and developers of R software, as well as applied
statisticians and data analysts in many fields. The books will feature detailed worked
examples and R code fully integrated into the text, ensuring their usefulness to researchers,
practitioners and students.
Published Titles
Customer and Business Analytics: Applied Data Mining for Business Decision
Making Using R,
Daniel S. Putler and Robert E. Krider
Event History Analysis with R,
Göran Broström
Programming Graphical User Interfaces with R,
John Verzani and Michael Lawrence
R Graphics, Second Edition,
Paul Murrell
Statistical Computing in C++ and R,
Randall L. Eubank and Ana Kupresanin
The R Series
Customer and
Business Analytics
Applied Data Mining for
Business Decision Making
Using R
Daniel S. Putler
Robert E. Krider
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2012 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Version Date: 20120327
International Standard Book Number-13: 978-1-4665-0398-4 (eBook - PDF)
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publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials
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