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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2021 Vol.22 No.12 P.1559-1564
Perspectives on cross-domain visual analysis of cyber-physical-social big data
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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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。
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Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/FITEE.2100553
CLC number:
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On-line Access:
2021-12-23
Received:
2021-11-29
Revision Accepted:
2021-12-10
Crosschecked:
2021-12-10