Enhong Chen (ed.); Yang Gao (ed.); Longbing Cao (ed.); Fu Xiao (ed.); Yiping Cui (ed.); Rong Gu (ed.); Li Wang (ed.); Cui Springer (2023) Pehmeäkantinen kirja
Kuan-Chuan Peng (ed.); Yizhou Wang (ed.); Ziyue Li (ed.); Zhenghua Chen (ed.); Jianfei Yang (ed.); Sungho Suh (ed.); M Wu Springer (2024) Pehmeäkantinen kirja
Jinfeng Yang (ed.); Qinghua Hu (ed.); Ming-Ming Cheng (ed.); Liang Wang (ed.); Qingshan Liu (ed.); Xiang Bai (ed.); Meng Springer (2017) Pehmeäkantinen kirja
Hsinchun Chen (ed.); Feiyue Wang (ed.); Christopher C. Yang (ed.); Daniel Zeng (ed.); Michael Chau (ed.); Kuiyu (ed. Chang Springer (2006) Pehmeäkantinen kirja
Junlan Wang (ed.); Bonnie Antoun (ed.); Eric Brown (ed.); Weinong Chen (ed.); Ioannis Chasiotis (ed.); Em Huskins-Retzlaff Springer (2017) Kovakantinen kirja
Tao Wang (ed.); Xiaobo Chen (ed.); Donna Post Guillen (ed.); Lei Zhang (ed.); Ziqi Sun (ed.); Cong Wang (ed.); Naws Haque Springer (2019) Kovakantinen kirja
This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023.
The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
