Big Scientific Data Management. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, Springer Aug 2019, 2019
- Softcover
- Neu

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
Verkäufer:in bei ZVAB seit 23. Januar 2017
Zustand: Neu
EUR 53,49
Artikelbeschreibung des Verkäufers
This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018.The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.
Bestandsnummer des Verkäufers 9783030280604
- Titel
- Big Scientific Data Management
- Autor
- Jianhui Li
- Verlag
- Springer, Springer Aug 2019
- Erscheinungsjahr
- 2019
- Zustand
- Neu
- Einband
- Taschenbuch
- Sprache
- Englisch
- ISBN-10
- 3030280608
- ISBN-13
- 9783030280604
- Artikelgewicht
- 528 Gramm
- Abmessungen
- 235x155x19 mm
This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018.
The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.