- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Programming big data analysis: principles and solutions ; volume:9 ; number:1 ; day:6 ; month:1 ; year:2022 ; pages:1-50 ; date:12.2022
Journal of Big Data ; 9, Heft 1 (6.1.2022), 1-50, 12.2022
- Creator
-
Belcastro, Loris
Cantini, Riccardo
Marozzo, Fabrizio
Orsino, Alessio
Talia, Domenico
Trunfio, Paolo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-021-00555-2
- URN
-
urn:nbn:de:101:1-2022042404475639329332
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Belcastro, Loris
- Cantini, Riccardo
- Marozzo, Fabrizio
- Orsino, Alessio
- Talia, Domenico
- Trunfio, Paolo
- SpringerLink (Online service)
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