New book release: Data Mining Applications with R
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Yanchang Zhao
Dec 23, 2013, 8:10:33 AM12/23/13
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Book title: Data Mining Applications with R
Editors: Yanchang Zhao, Yonghua Cen
Publisher: Elsevier
Publish date: December 2013
ISBN: 978-0-12-411511-8
Length: 514 pages
URL: http://www.rdatamining.com/books/dmar
An edited book titled Data Mining Applications with R was released in December 2013, which features 15 real-word applications on data mining with R. A preview of the book is available on Google Books at
http://books.google.com.au/books?id=nYpqAAAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0. R code, data and color figures for the book can be downloaded at http://www.rdatamining.com/books/dmar/code.
Buy the book on
- Amazon: http://www.amazon.com/Data-Mining-Applications-Yanchang-Zhao/dp/012411511X
- Elsevier: http://store.elsevier.com/Data-Mining-Applications-with-R/Yanchang-Zhao/isbn-9780124115118/
- Google Books: http://books.google.com.au/books/about/Data_Mining_Applications_with_R.html?id=nYpqAAAAQBAJ
Below is its table of contents.
Foreword
Graham Williams
Chapter 1 Power Grid Data Analysis with R and Hadoop
Terence Critchlow, Ryan Hafen, Tara Gibson and Kerstin Kleese van Dam
Chapter 2 Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization
Giorgio Maria Di Nunzio and Alessandro Sordoni
Chapter 3 Discovery of emergent issues and controversies in Anthropology using text mining, topic modeling and social network analysis of microblog content
Ben Marwick
Chapter 4 Text Mining and Network Analysis of Digital Libraries in R
Eric Nguyen
Chapter 5 Recommendation systems in R
Saurabh Bhatnagar
Chapter 6 Response Modeling in Direct Marketing: A Data Mining Based Approach for Target Selection
Sadaf Hossein Javaheri, Mohammad Mehdi Sepehri and Babak Teimourpour
Chapter 7 Caravan Insurance Policy Customer Profile Modeling with R Mining
Mukesh Patel and Mudit Gupta
Chapter 8 Selecting Best Features for Predicting Bank Loan Default
Zahra Yazdani, Mohammad Mehdi Sepehri and Babak Teimourpour
Chapter 9 A Choquet Ingtegral Toolbox and its Application in Customer's Preference Analysis
Huy Quan Vu, Gleb Beliakov and Gang Li
Chapter 10 A Real-Time Property Value Index based on Web Data
Fernando Tusell, Maria Blanca Palacios, María Jesús Bárcena and Patricia Menéndez
Chapter 11 Predicting Seabed Hardness Using Random Forest in R
Jin Li, Justy Siwabessy, Zhi Huang, Maggie Tran and Andrew Heap
Chapter 12 Supervised classification of images, applied to plankton samples using R and zooimage
Kevin Denis and Philippe Grosjean
Chapter 13 Crime analyses using R
Madhav Kumar, Anindya Sengupta and Shreyes Upadhyay
Chapter 14 Football Mining with R
Maurizio Carpita, Marco Sandri, Anna Simonetto and Paola Zuccolotto
Chapter 15 Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization
Emmanuel Herbert, Daniel Migault, Stephane Senecal, Stanislas Francfort and Maryline Laurent
Editors: Yanchang Zhao, Yonghua Cen
Publisher: Elsevier
Publish date: December 2013
ISBN: 978-0-12-411511-8
Length: 514 pages
URL: http://www.rdatamining.com/books/dmar
An edited book titled Data Mining Applications with R was released in December 2013, which features 15 real-word applications on data mining with R. A preview of the book is available on Google Books at
http://books.google.com.au/books?id=nYpqAAAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0. R code, data and color figures for the book can be downloaded at http://www.rdatamining.com/books/dmar/code.
Buy the book on
- Amazon: http://www.amazon.com/Data-Mining-Applications-Yanchang-Zhao/dp/012411511X
- Elsevier: http://store.elsevier.com/Data-Mining-Applications-with-R/Yanchang-Zhao/isbn-9780124115118/
- Google Books: http://books.google.com.au/books/about/Data_Mining_Applications_with_R.html?id=nYpqAAAAQBAJ
Below is its table of contents.
Foreword
Graham Williams
Chapter 1 Power Grid Data Analysis with R and Hadoop
Terence Critchlow, Ryan Hafen, Tara Gibson and Kerstin Kleese van Dam
Chapter 2 Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization
Giorgio Maria Di Nunzio and Alessandro Sordoni
Chapter 3 Discovery of emergent issues and controversies in Anthropology using text mining, topic modeling and social network analysis of microblog content
Ben Marwick
Chapter 4 Text Mining and Network Analysis of Digital Libraries in R
Eric Nguyen
Chapter 5 Recommendation systems in R
Saurabh Bhatnagar
Chapter 6 Response Modeling in Direct Marketing: A Data Mining Based Approach for Target Selection
Sadaf Hossein Javaheri, Mohammad Mehdi Sepehri and Babak Teimourpour
Chapter 7 Caravan Insurance Policy Customer Profile Modeling with R Mining
Mukesh Patel and Mudit Gupta
Chapter 8 Selecting Best Features for Predicting Bank Loan Default
Zahra Yazdani, Mohammad Mehdi Sepehri and Babak Teimourpour
Chapter 9 A Choquet Ingtegral Toolbox and its Application in Customer's Preference Analysis
Huy Quan Vu, Gleb Beliakov and Gang Li
Chapter 10 A Real-Time Property Value Index based on Web Data
Fernando Tusell, Maria Blanca Palacios, María Jesús Bárcena and Patricia Menéndez
Chapter 11 Predicting Seabed Hardness Using Random Forest in R
Jin Li, Justy Siwabessy, Zhi Huang, Maggie Tran and Andrew Heap
Chapter 12 Supervised classification of images, applied to plankton samples using R and zooimage
Kevin Denis and Philippe Grosjean
Chapter 13 Crime analyses using R
Madhav Kumar, Anindya Sengupta and Shreyes Upadhyay
Chapter 14 Football Mining with R
Maurizio Carpita, Marco Sandri, Anna Simonetto and Paola Zuccolotto
Chapter 15 Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization
Emmanuel Herbert, Daniel Migault, Stephane Senecal, Stanislas Francfort and Maryline Laurent
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