TY  - GEN
N2  - This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
DO  - 10.1007/978-3-031-28350-5
DO  - doi
AB  - This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
T1  - Big data analytics in astronomy, science, and engineering :10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022, Proceedings /
AU  - Sachdeva, Shelly,
AU  - Watanobe, Yutaka,
AU  - Bhalla, Subhash,
VL  - 13830
CN  - QA76.9.B45
N1  - Includes author index.
ID  - 1461584
KW  - Big data
KW  - Astronomy
KW  - Data mining
KW  - Visual analytics
SN  - 9783031283505
SN  - 3031283503
TI  - Big data analytics in astronomy, science, and engineering :10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28350-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28350-5
ER  -