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Open source software for statistical analysis of big data : emerging research and opportunities / Richard S. Segall and Gao Niu, editors.
- Format:
- Book
- Author/Creator:
- Segall, Richard, 1949- author.
- Language:
- English
- Subjects (All):
- Statistics--Data processing.
- Statistics.
- Open source software.
- Big data.
- Physical Description:
- 17 PDFs (237 pages)
- Place of Publication:
- Hershey, Pennsylvania : IGI Global, [2020]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book explores topics in the field of open source software for big data"-- Provided by publisher.
- Contents:
- 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.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 1-7998-2770-4
- 1-7998-2771-2
- OCLC:
- 1123182190
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