New book release: Data Mining Applications with R

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

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.

Book preview on Google Books

R code, data and color figures for the book

Buy the book on
Google Books

Below is its table of contents.fig1 fig2 fig3 fig4 fig5 fig6

  • 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

About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining:; Twitter; Group on Linkedin; and Group on Google.
This entry was posted in Data Mining, R and tagged , . Bookmark the permalink.

6 Responses to New book release: Data Mining Applications with R

  1. Tal Galili says:

    Hello Yanchang ,
    I suspect this post would greatly benefit from adding some pictures to it.
    If you will do so – e-mail me so I could update the post on r-bloggers.

    Good luck with your new book, it looks very interesting 🙂

    With regards,

  2. hxy0135 says:

    I am new in data mining. and Hoped that I can learn advanced data mining via step-by-step fashion by following the book samples. The samples presented in the book are all good examples. But many R code don’t run. and some dataset mentioned in R cannot be found or in different format. some Amonzon readers hope you can provide R and data set updates. Is it possible to provide a more consistent supplimental material via

    Thank you,

    • My apologies for inconsistency in code/data formatting and possible errors in them, and thanks for your suggestion. I am working on that and hopefully will provide updated versions of code/data soon after contacting chapter authors.

      • hxy0135 says:

        Thank you for your reply.
        I just updated my review on amazon and gave it 4 stars. I like the book’s style – learning by doing

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