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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

 ORCID:

Wei Chen

https://orcid.org/0000-0002-8365-4741

Yunhai Wang

https://orcid.org/0000-0003-0059-6580

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.12 P.1559-1564

http://doi.org/10.1631/FITEE.2100553


Perspectives on cross-domain visual analysis of cyber-physical-social big data


Author(s):  Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang

Affiliation(s):  The State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   cloudseawang@gmail.com

Key Words: 


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.

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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.

三元空间大数据跨域可视化分析展望

陈为1,张天野1,朱海洋1,王叙萌1,汪云海2
1浙江大学CAG&CG国家重点实验室,中国杭州市,310058
2山东大学计算机科学与技术学院,中国济南市,250100
摘要:三元空间大数据一般定义为由其定义领域(包括数据、对象、任务、应用场景、主体等)所有元素组成的集合。可视分析是一种新兴的人在回路大数据分析范式,可利用人类感知提高人类认知效率。本文探讨三元空间大数据跨域可视化分析,强调三元空间大数据跨域性带来的新挑战--数据、主题和任务域,并提出一个新的可视分析模型和一套方法来应对这些挑战。

关键词:可视分析;三元空间;大数据;跨域

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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