Cover for Data Mining Applications with R

Data Mining Applications with R

Book2014

Authors:

Yanchang Zhao and Yonghua Cen

Data Mining Applications with R

Book2014

 

Cover for Data Mining Applications with R

Authors:

Yanchang Zhao and Yonghua Cen

About the book

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Book description

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 gr ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Power Grid Data Analysis with R and Hadoop

    Pages 1-34

  3. Book chapterAbstract only

    Chapter 2 - Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization

    Pages 35-61

  4. Book chapterAbstract only

    Chapter 3 - Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining, Topic Modeling, and Social Network Analysis of Microblog Content

    Pages 63-93

  5. Book chapterAbstract only

    Chapter 4 - Text Mining and Network Analysis of Digital Libraries in R

    Pages 95-115

  6. Book chapterAbstract only

    Chapter 5 - Recommender Systems in R

    Pages 117-151

  7. Book chapterAbstract only

    Chapter 6 - Response Modeling in Direct Marketing: A Data Mining-Based Approach for Target Selection

    Pages 153-180

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    Chapter 7 - Caravan Insurance Customer Profile Modeling with R

    Pages 181-227

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    Chapter 8 - Selecting Best Features for Predicting Bank Loan Default

    Pages 229-245

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    Chapter 9 - A Choquet Integral Toolbox and Its Application in Customer Preference Analysis

    Pages 247-272

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    Chapter 10 - A Real-Time Property Value Index Based on Web Data

    Pages 273-297

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    Chapter 11 - Predicting Seabed Hardness Using Random Forest in R

    Pages 299-329

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    Chapter 12 - Supervised Classification of Images, Applied to Plankton Samples Using R and Zooimage

    Pages 331-365

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    Chapter 13 - Crime Analyses Using R

    Pages 367-395

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    Chapter 14 - Football Mining with R

    Pages 397-433

  16. Book chapterAbstract only

    Chapter 15 - Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization

    Pages 435-456

  17. Book chapterNo access

    Index

    Pages 457-470

About the book

Description

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 different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.

R code, Data and color figures for the book are provided at the RDataMining.com website.

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 different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.

R code, Data and color figures for the book are provided at the RDataMining.com website.

Key Features

  • Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
  • Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
  • Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves
  • Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
  • Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
  • Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Details

ISBN

978-0-12-411511-8

Language

English

Published

2014

Copyright

Copyright © 2013 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Authors

Yanchang Zhao

Senior Data Miner, RDataMining.com, Australia

Yonghua Cen

Associate Professor, Nanjing University of Science and Technology, China