TY - GEN AB - This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics. AU - Sachdeva, Shelly, AU - Watanobe, Yutaka, AU - Bhalla, Subhash, CN - QA76.9.D343 DO - 10.1007/978-3-030-96600-3 DO - doi ID - 1444582 KW - Big data KW - Database management KW - Data mining KW - Astronomy KW - Engineering KW - Données volumineuses KW - Bases de données KW - Exploration de données (Informatique) KW - Ingénierie LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96600-3 N1 - International conference proceedings. N1 - Includes author index. N2 - This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics. SN - 9783030966003 SN - 3030966003 T1 - Big-data-analytics in astronomy, science, and engineering :9th International Conference on Big Data Analytics, BDA 2021, virtual event, December 7-9, 2021 : proceedings / TI - Big-data-analytics in astronomy, science, and engineering :9th International Conference on Big Data Analytics, BDA 2021, virtual event, December 7-9, 2021 : proceedings / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96600-3 VL - 13167 ER -