CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-12-10
Cited: 0
Clicked: 3775
Citations: Bibtex RefMan EndNote GB/T7714
Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang. Perspectives on cross-domain visual analysis of cyber-physical-social big data[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(12): 1559-1564.
@article{title="Perspectives on cross-domain visual analysis of cyber-physical-social big data",
author="Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="12",
pages="1559-1564",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100553"
}
%0 Journal Article
%T Perspectives on cross-domain visual analysis of cyber-physical-social big data
%A Wei Chen
%A Tianye Zhang
%A Haiyang Zhu
%A Xumeng Wang
%A Yunhai Wang
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 12
%P 1559-1564
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100553
TY - JOUR
T1 - Perspectives on cross-domain visual analysis of cyber-physical-social big data
A1 - Wei Chen
A1 - Tianye Zhang
A1 - Haiyang Zhu
A1 - Xumeng Wang
A1 - Yunhai Wang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 12
SP - 1559
EP - 1564
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100553
Abstract: The domain of cyber-physical-social (CPS) big data is generally defined as the set consisting of all the elements in its defined domain, including domains of data, objects, tasks, application scenarios, and subjects. Visual analytics is an emerging human-in-the-loop big data analytics paradigm that can exploit human perception to enhance human cognitive efficiency. In this paper, we explore the perspectives on cross-domain visual analysis of CPS big data. We also highlight new challenges brought by the cross-domain nature of CPS big data—data, subject, and task domains—and propose a novel visual analytics model and a suite of approaches to address these challenges.
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