02836nam a22005415i 4500 978-3-031-58502-9 DE-He213 20251030112015.0 cr nn 008mamaa 240427s2024 sz | s |||| 0|eng d 9783031585029 978-3-031-58502-9 10.1007/978-3-031-58502-9 doi QA76.76.A65 UB bicssc COM005000 bisacsh UX thema Big Data Analytics in Astronomy, Science, and Engineering [electronic resource] : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings / edited by Shelly Sachdeva, Yutaka Watanobe. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIII, 318 p. 119 illus., 103 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14516 This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. . Application software. Database management. 60571 Computer networks . 60157 Computer and Information Systems Applications. Database Management. 60571 Computer Communication Networks. 65689 Sachdeva, Shelly. editor. (orcid)0000-0003-4088-1271 https://orcid.org/0000-0003-4088-1271 edt http://id.loc.gov/vocabulary/relators/edt 75905 Watanobe, Yutaka. editor. (orcid)0000-0002-0030-3859 https://orcid.org/0000-0002-0030-3859 edt http://id.loc.gov/vocabulary/relators/edt 75906 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031585012 Printed edition: 9783031585036 Lecture Notes in Computer Science, 1611-3349 ; 14516 https://doi.org/10.1007/978-3-031-58502-9 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 59451 59451