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

• Main Authors: Li, Jianhui, Meng, Xiaofeng, Zhang, Ying, Cui, Wenjuan, Du, Zhihui
• Format: eBook Conference Proceeding
• Language: English
• Published: Cham Springer Nature 2019; Springer International Publishing AG; Springer International Publishing; Springer
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Artificial Intelligence; Big Data; Computer Science; Computer Systems Organization and Communication Networks; Information Systems and Communication Service; Management of Computing and Information Systems; Science-Data processing-Congresses; Special computer methods; Systems and Data Security
• ISBN: 3030280616; 9783030280611; 3030280608; 9783030280604
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-28061-1

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.