TY  - BOOK
AU  - Hu,Bo
AU  - Xia,Yunni
AU  - Zhang,Yiwen
AU  - Zhang,Liang-Jie
TI  - Big Data - BigData 2022: 11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783031235016
U1  - 005.7 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Big data
KW  - Computer engineering
KW  - Computer networks 
KW  - Artificial intelligence
KW  - Big Data
KW  - Computer Engineering and Networks
KW  - Artificial Intelligence
N1  - A Massive Data Retrieval Method for Power Information Collection Systems -- Research and Application of the Data Resource Directory System of the Aerospace Enterprise -- Performance Analysis of Cross-border Mergers and Acquisitions of Baiyuan Pants Industry in the Internet Era -- Topic Modeling in the ENRON dataset -- Design of Multi-data Sources based Forest Fire Monitoring and Early Warning System -- Research on the pricing method of power data assets -- Research and Design on the Confirmation Method of Power Data Assets -- Big Data Technology in Real Estate Industry: Scenarios and Benefits -- Copyright and AI: Are extant laws adequate?
N2  - This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services
UR  - https://doi.org/10.1007/978-3-031-23501-6
ER  -