TY  - BOOK
AU  - Liao,Xiangke
AU  - Zhao,Wei
AU  - Chen,Enhong
AU  - Xiao,Nong
AU  - Wang,Li
AU  - Gao,Yang
AU  - Shi,Yinghuan
AU  - Wang,Changdong
AU  - Huang,Dan
TI  - Big Data: 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers 
T2  - Communications in Computer and Information Science,
SN  - 9789811697098
U1  - 006.3 23
PY  - 2022///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Artificial intelligence
KW  - Computer engineering
KW  - Computer networks 
KW  - Education-Data processing
KW  - Image processing-Digital techniques
KW  - Computer vision
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Artificial Intelligence
KW  - Computer Engineering and Networks
KW  - Computers and Education
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Data Structures and Information Theory
N1  - Big Data Analysis and Applications -- Big Data and Deep Learning -- Big Data Intelligent Algorithms -- Big Data Privacy and Security -- Image and Natural Language Big Data
N2  - This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.
UR  - https://doi.org/10.1007/978-981-16-9709-8
ER  -