Big Scientific Data Management - E-book

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Big Scientific Data Management - ENG

First International Conference, Bigsdm 2018, Beijing, China, November 30 â€“ December 1, 2018, Revised Selected Papers

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Sinopsis

ISBN:	9783030280611
Formato:	ePub
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Computadoras
Subtema:	Banco de datos general
Año de publicación:	2019-08-06

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.

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