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Open source software for statistical...

Segall, Richard, (1949-)

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Open source software for statistical analysis of big data = emerging research and opportunities /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Open source software for statistical analysis of big data/ Richard S. Segall and Gao Niu, editors.
Reminder of title:	emerging research and opportunities /
other author:	Segall, Richard,
Published:	Hershey, Pennsylvania :IGI Global, : 2020.,
Description:	1 online resource (xiv, 237 p.)
[NT 15003449]:	Chapter 1. What is open source software (OSS) and what is big data? -- Chapter 2. Open source software (OSS) for big data -- Chapter 3. Introduction to the popular open source statistical software (OSSS) -- Chapter 4. Cluster analysis in R with big data applications -- Chapter 5. Generalized linear model for automobile fatality rate prediction in R -- Chapter 6. Introduction to python and its statistical applications -- Chapter 7. A comparison of machine learning algorithms of big data for time series forecasting using python.
Subject:	Statistics - Data processing. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2768-9
ISBN:	9781799827702 (ebk.)

Open source software for statistical analysis of big data = emerging research and opportunities /
Open source software for statistical analysis of big dataemerging research and opportunities /[electronic resource] :Richard S. Segall and Gao Niu, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xiv, 237 p.)

Includes bibliographical references and index.

Chapter 1. What is open source software (OSS) and what is big data? -- Chapter 2. Open source software (OSS) for big data -- Chapter 3. Introduction to the popular open source statistical software (OSSS) -- Chapter 4. Cluster analysis in R with big data applications -- Chapter 5. Generalized linear model for automobile fatality rate prediction in R -- Chapter 6. Introduction to python and its statistical applications -- Chapter 7. A comparison of machine learning algorithms of big data for time series forecasting using python.

"This book explores topics in the field of open source software for big data"--

ISBN: 9781799827702 (ebk.)Subjects--Topical Terms:

535534
Statistics
--Data processing.

LC Class. No.: QA276.4 / .O64 2020

Dewey Class. No.: 005.7

Open source software for statistical analysis of big data = emerging research and opportunities /
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245 0 0 $a Open source software for statistical analysis of big data $h [electronic resource] : $b emerging research and opportunities / $c Richard S. Segall and Gao Niu, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xiv, 237 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. What is open source software (OSS) and what is big data? -- Chapter 2. Open source software (OSS) for big data -- Chapter 3. Introduction to the popular open source statistical software (OSSS) -- Chapter 4. Cluster analysis in R with big data applications -- Chapter 5. Generalized linear model for automobile fatality rate prediction in R -- Chapter 6. Introduction to python and its statistical applications -- Chapter 7. A comparison of machine learning algorithms of big data for time series forecasting using python.
520 3 $a "This book explores topics in the field of open source software for big data"-- $c Provided by publisher.
650 0 $a Statistics $x Data processing. $3 535534
650 0 $a Open source software. $3 581998
650 0 $a Big data. $3 2045508
700 1 $a Segall, Richard, $d 1949- $e editor. $3 3311040
700 1 $a Niu, Gao, $d 1987- $e editor. $3 3510740
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2768-9