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Open source software for statistical analysis of big data : emerging research and opportunities / [edited by] Richard S. Segall, Gao Niu.
- Format:
- Book
- Series:
- Advances in computer and electrical engineering (ACEE) book series
- Language:
- English
- Subjects (All):
- Statistics--Data processing.
- Statistics.
- Open source software.
- Big data.
- Physical Description:
- 1 online resource (xiv, 237 pages).
- polychrome
- Place of Publication:
- Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]
- System Details:
- text file
- 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:
- Includes bibliographical references and index.
- Electronic reproduction. Hershey, Pa. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on March 06, 2020).
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Rudolph G. Schmieder Fund.
- Other Format:
- Print version: Open source software for statistical analysis of big data
- ISBN:
- 9781799827702
- 1799827704
- 9781799827719
- 1799827712
- Publisher Number:
- 99984159485
- Access Restriction:
- Restricted for use by site license.
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