The State of the Art of Visual Analytics
The State of the Art of Visual Analytics
复制标题
视觉分析的最新技术
DOI：
10.1007/978-3-642-13624-5_20
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Dong
中科院分区：
文献类型：
--
作者：
Dong
在信息时代，如何发现与任务相关的数据，以及如何从这些数据中获得有意义的信息，是挑战人类决策者的关键问题之一。作为处理这一问题的新学科，可视化分析最近出现了。可视化分析被定义为通过交互式可视化界面促进分析推理的科学。它是一门涉及数据挖掘、信息可视化、知识科学、人的因素等多学科的交叉学科，本文综述了可视化分析的研究现状，认为可视化分析的问题应该从人机交互和联合认知系统的角度来考虑。基于回顾的结果，本文提出了一个概念框架，组织研究问题，研究到目前为止，并确定可行的未来研究方向。作者希望本文能够提供有关视觉分析的组织良好的信息，并成为对这一新学科感兴趣的研究人员的良好来源。
One of the critical issues challenging human decision makers in the information age is how to find out data relevant to their tasks and how to derive meaningful information from these data. As a new discipline for dealing with this issue, visual analytics has recently emerged. Visual analytics is defined as the science of analytical reasoning facilitated by interactive visual interfaces. It is a multidisciplinary subject that is related to data mining, information visualization, knowledge science, human factors, and so on. This paper reviews the state of the art of visual analytics and claims that the problems of visual analytics should be considered in the context of human-computer interaction and joint cognitive systems. Based on the review results, this paper proposes a conceptual framework for organizing research problems studied so far and identifying viable future research directions. The author hopes that this paper will provide well-organized information about visual analytics and be a good source for researchers who are interested in this new discipline.