- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Belcastro, Loris
Cantini, Riccardo
Marozzo, Fabrizio
Orsino, Alessio
Talia, Domenico
Trunfio, Paolo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-021-00555-2
- URN
-
urn:nbn:de:101:1-2022042404475639329332
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
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Beteiligte
- Belcastro, Loris
- Cantini, Riccardo
- Marozzo, Fabrizio
- Orsino, Alessio
- Talia, Domenico
- Trunfio, Paolo
- SpringerLink (Online service)
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