Data Mining Applications with R by Yonghua Cen and Yanchang Zhao (2013,...

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Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
ISBN
9780124115118
Publication Year
2013
Type
Textbook
Format
Hardcover
Language
English
Subject Area
Computers
Publication Name
Data Mining Applications with R
Author
Yonghua Cen, Yanchang Zhao
Publisher
Elsevier Science & Technology
Item Length
9.2 in
Subject
Programming Languages / General, Intelligence (Ai) & Semantics, Databases / Data Mining, Databases / General
Item Width
7.5 in
Number of Pages
514 Pages
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
012411511X
ISBN-13
9780124115118
eBay Product ID (ePID)
13038261129

Product Key Features

Number of Pages
514 Pages
Language
English
Publication Name
Data Mining Applications with R
Subject
Programming Languages / General, Intelligence (Ai) & Semantics, Databases / Data Mining, Databases / General
Publication Year
2013
Type
Textbook
Author
Yonghua Cen, Yanchang Zhao
Subject Area
Computers
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
"The book contains a wealth of modern material that should be covered in more depth in statistics courses: for example, missing data, outlier detection, missing imputation, correlation coefficient matrices, principles of model selection, text mining, and decision trees...The book has many hot and recent packages; many are written or have theory based on results developed since 2010."-- MAA.org, April 23, 2014 "Zhao and Cen present 15 real-world applications of data mining with the open-source statistics software R. Each application covers the business background, and problems, data extraction and exploitation, data preprocessing, modeling, model evaluation, findings, and model deployment. They involve a diverse set of challenging problems in terms of data size, data type, data mining goals, and the methodologies and tools to carry out the analysis."-- ProtoView.com, February 2014, "Zhao and Cen present 15 real-world applications of data mining with the open-source statistics software R. Each application covers the business background, and problems, data extraction and exploitation, data preprocessing, modeling, model evaluation, findings, and model deployment. They involve a diverse set of challenging problems in terms of data size, data type, data mining goals, and the methodologies and tools to carry out the analysis."-- ProtoView.com, February 2014, "The book contains a wealth of modern material that should be covered in more depth in statistics courses: for example, missing data, outlier detection, missing imputation, correlation coefficient matrices, principles of model selection, text mining, and decision trees.The book has many hot and recent packages; many are written or have theory based on results developed since 2010."-- MAA.org, April 23, 2014 "Zhao and Cen present 15 real-world applications of data mining with the open-source statistics software R. Each application covers the business background, and problems, data extraction and exploitation, data preprocessing, modeling, model evaluation, findings, and model deployment. They involve a diverse set of challenging problems in terms of data size, data type, data mining goals, and the methodologies and tools to carry out the analysis."-- ProtoView.com, February 2014
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
1. Introduction 2. Case Study in Finance 3.Case Study in Retail 4. Case Study in Telecommunications 5. Case Study in Government 6. Case Study in Crime & Homeland Security 7. Case Study in Stock Market 8. Case Study in Social Welfare 9. Case Study in Social Media 10. Case Study in Sports 11. Case Study in Medicine and Health 12. Case Study in Bioinformatics 13. Case Study in Sentiment Analysis 14. Case Study in Spatial Data Analysis 15. Case Study in Patent Analysis 16. Case Study in Education 17. Case Study in Transport 18. Case Study in Real Estate Conclusions Bibliography
Synopsis
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. 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, 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.
LC Classification Number
QA76.9.D343

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