Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 57,40
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Springer-Verlag New York Inc, 2019
ISBN 10: 3030280608 ISBN 13: 9783030280604
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 79,53
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 348 pages. 9.25x6.10x0.71 inches. In Stock.
Verlag: World Scientific Pub Co Inc, 2024
ISBN 10: 9811257116 ISBN 13: 9789811257117
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 98,31
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Springer International Publishing, Springer Nature Switzerland Aug 2019, 2019
ISBN 10: 3030280608 ISBN 13: 9783030280604
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030280608 ISBN 13: 9783030280604
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.