| Record Type: |
Electronic resources
: Monograph/item
|
| [NT 15000414]: |
005.7 |
| Title/Author: |
Open source software for statistical analysis of big data : emerging research and opportunities // Richard S. Segall and Gao Niu, editors. |
| other author: |
Segall, Richard, |
| Published: |
Hershey, Pennsylvania : : IGI Global,, 2020. |
| Description: |
1 online resource (xiv, 237 p.) |
| Subject: |
Statistics - Data processing. |
| Subject: |
Open source software. |
| Subject: |
Big data. |
| ISBN: |
9781799827702 (ebk.) |
| ISBN: |
9781799827689 (hbk.) |
| ISBN: |
9781799827696 (pbk.) |
| [NT 15000227]: |
Includes bibliographical references and index. |
| [NT 15000228]: |
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. |
| [NT 15000229]: |
"This book explores topics in the field of open source software for big data"-- |
| Online resource: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2768-9 |