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Big Scientific Data Management

First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers

Specificaties
Paperback, blz. | Engels
Springer International Publishing | e druk, 2019
ISBN13: 9783030280604
Rubricering
Springer International Publishing e druk, 2019 9783030280604
Onderdeel van serie Lecture Notes in Computer Science
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783030280604
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

<p>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.</p>

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        Big Scientific Data Management