TY  - GEN
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.
AU  - Sachdeva, Shelly,
AU  - Watanobe, Yutaka,
AU  - Bhalla, Subhash,
CN  - QA76.9.B45
DO  - 10.1007/978-3-031-28350-5
DO  - doi
ID  - 1461584
KW  - Big data
KW  - Astronomy
KW  - Data mining
KW  - Visual analytics
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28350-5
N1  - Includes author index.
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.
SN  - 9783031283505
SN  - 3031283503
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 /
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 /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28350-5
VL  - 13830
ER  -