A visual analysis approach for data imputation via multi-party tabular data correlation strategies
信息与电子工程前沿(英文)2024年25卷第3期 页码:398-414
Affiliations:
1.The State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China
2.Wuchan Zhongda Digital Technology Co., Ltd., Hangzhou 310020, China
3.Zhejiang Metals and Materials Co., Ltd., Hangzhou 310005, China
Author bio:
†E-mail: hnsyzhy@zju.edu.cn
‡Corresponding author
Funds:
Key R&D "Jianbin" Tackling Plan Program in Zhejiang Province, China(2023C01119);"Ten Thousand Talents Plan" Science and Technology Innovation Leading Talent Program of Zhejiang Province, China(2022R52044);Major Standardization Pilot Projects for the Digital Economy (Digital Trade Sector) of Zhejiang Province, China(SJ-BZ/2023053);National Natural Science Foundation of China(62132017)
Haiyang ZHU, Dongming HAN, Jiacheng PAN, et al. A visual analysis approach for data imputation via multi-party tabular data correlation strategies[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(3): 398-414.
Haiyang ZHU, Dongming HAN, Jiacheng PAN, et al. A visual analysis approach for data imputation via multi-party tabular data correlation strategies[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(3): 398-414. DOI: 10.1631/FITEE.2300480.