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

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....

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Bibliographic Details
Other Authors: Li, Jianhui (Editor), Meng, Xiaofeng (Editor), Zhang, Ying (Editor), Cui, Wenjuan (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Information Systems and Applications, incl. Internet/Web, and HCI
Subjects:
Computer Communication Networks
Big Data
Artificial Intelligence
Electronic Data Processing / Management
Computer Networks 
Computer Engineering And Networks
Data Protection
Computer Engineering
Data And Information Security
It Operations
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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