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Big Scientific Data Management

  • Kartonierter Einband
  • 348 Seiten
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This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 201... Weiterlesen
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Beschreibung

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.



Inhalt

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.- Data policies.

Produktinformationen

Titel: Big Scientific Data Management
Untertitel: First International Conference, BigSDM 2018, Beijing, China, November 30 - December 1, 2018, Revised Selected Papers
Editor:
EAN: 9783030280604
ISBN: 3030280608
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Anzahl Seiten: 348
Gewicht: 528g
Größe: H235mm x B155mm x T18mm
Jahr: 2019
Untertitel: Englisch
Auflage: 1st ed. 2019

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