Open source software for statistical analysis of big data : emerging research and opportunities
Richard S. Segall (Arkansas State University, USA), Gao Niu (Bryant University, USA), editors
| Year of publication: |
[2020]
|
|---|---|
| Other Persons: | Segall, Richard S. (ed.) ; Niu, Gao (ed.) |
| Publisher: |
Hershey, Pennsylvania : IGI Global |
| Subject: | Open Source | Open source | Big Data | Big data | Software | Data Mining | Data mining |
| Description of contents: |
"This book explores topics in the field of open source software for big data"--
Table of Contents [gbv.de]
|
Online Resource
| Extent: | 1 Online-Ressource (237 Seiten) |
|---|---|
| Series: | |
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 02/15/2020) Mode of access: World Wide Web. |
| ISBN: | 978-1-7998-2770-2 ; 1-7998-2770-4 ; 978-1-7998-2769-6 ; 978-1-7998-2768-9 |
| Other identifiers: | 10.4018/978-1-7998-2768-9 [DOI] |
| Classification: | Software engineering |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012394382