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Big Scientific Data Management

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

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Big Scientific Data Management Jianhui Li
Libristo code: 41001510
Publishers Springer, August 2019
This book constitutes the refereed proceedings of the First International Conference on Big Scientif... Full description
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21 336 Ft
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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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About the book

Full name Big Scientific Data Management
Author Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2019
EAN 9783030280611
Libristo code 41001510
Publishers Springer

Categories

Computing & Information Technology > Computer science > Human–computer interaction > Information architecture
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Databases
Computing & Information Technology > Computer security
Computing & Information Technology > Computer networking & communications
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