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

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Synopsis

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.

Book details

Edition:
1st ed. 2019
Series:
Lecture Notes in Computer Science (Book 11473)
Author:
Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du
ISBN:
9783030280611
Related ISBNs:
9783030280604
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-08-06
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
Springer Nature Switzerland AG 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Nonfiction