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The performance benefit of data analytics applications

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Veröffentlicht in: Procedia computer science 201(2022), Seite 679-683
Personen und Körperschaften: Pohl, Matthias (VerfasserIn), Staegemann, Daniel Gunnar (VerfasserIn), Turowski, Klaus (VerfasserIn)
Titel: The performance benefit of data analytics applications
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2022
Gesamtaufnahme: : Procedia computer science, 201(2022), Seite 679-683
, volume:201
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
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spelling Pohl, Matthias VerfasserIn aut, The performance benefit of data analytics applications, 2022, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Part of special issue: 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40), Staegemann, Daniel Gunnar VerfasserIn aut, Turowski, Klaus VerfasserIn aut, Enthalten in Procedia computer science Amsterdam [u.a.] : Elsevier, 2010 201(2022), Seite 679-683 Online-Ressource (DE-627)627614809 (DE-600)2557358-5 (DE-576)324121466 1877-0509, volume:201 year:2022 pages:679-683, https://doi.org/10.1016/j.procs.2022.03.090 Resolving-System kostenfrei, https://doi.org/10.1016/j.procs.2022.03.090 LFER, LFER 2022-09-30T20:57:29Z
spellingShingle Pohl, Matthias, Staegemann, Daniel Gunnar, Turowski, Klaus, The performance benefit of data analytics applications
title The performance benefit of data analytics applications
title_auth The performance benefit of data analytics applications
title_full The performance benefit of data analytics applications
title_fullStr The performance benefit of data analytics applications
title_full_unstemmed The performance benefit of data analytics applications
title_in_hierarchy The performance benefit of data analytics applications,
title_short The performance benefit of data analytics applications
title_sort performance benefit of data analytics applications
url https://doi.org/10.1016/j.procs.2022.03.090