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Vis Inf
Vis Inf  2020, Vol. 4 Issue (3): 24-40    DOI: 10.1016/j.visinf.2020.07.002
论文     
自动信息图和可视化推荐综述
Sujia Zhu，GuodaoSun，Qi Jiang，Meng Zha，Ronghua Liang
College of Computer Science and Technology, Zhejiang University of Technology, PR China
A survey on automatic infographics and visualization recommendations
Sujia Zhu，GuodaoSun，Qi Jiang，Meng Zha，Ronghua Liang
College of Computer Science and Technology, Zhejiang University of Technology, PR China
 全文: PDF 
摘要： 自动信息图生成器采用机器学习算法、用户定义的规则和视觉修饰生成信息图。它属于信息可视化领域的一个新兴课题，在控制面板设计、数据分析和可视化推荐等众多领域有应用需求。 由于近年来可视化分析越来越受欢迎，自动信息图也日益受到人们的关注。因此有必要做一个全面的综述，评估这一领域的重大进展。 自动工具可为分析师搜索和选择来自动生成可视化结果，而无需分析师手工指定，从而降低了数据可视分析的门槛。本文将按照应用类别对可视推荐的自动化工具和论文进行评述和分类，这些应用包括网络图可视化，注解可视化和故事情节可视化。特别地，本文还列出了在自动信息图和可视化推荐领域中未来工作的若干挑战和有前景的研究方向。
关键词： 自动可视化;  数据驱动;  基于知识;  机器学习;  视觉修饰    
Abstract: Automatic infographics generators employ machine learning algorithms/user-defined rules and visual embellishments into the creation of infographics. It is an emerging topic in the field of information visualization that has requirements in many sectors, such as dashboard design, data analysis, and visualization recommendation. The growing popularity of visual analytics in recent years brings increased attention to automatic infographics. This creates the need for a broad survey that reviews and assesses the significant advances in this field. Automatic tools aim to lower the barrier for visually analyzing data by automatically generating visualizations for analysts to search and make a choice, instead of manually specifying. This survey reviews and classifies automatic tools and papers of visualization recommendations into a set of application categories including network-graph visualizations, annotation visualizations, and storytelling visualization. More importantly, this report presents several challenges and promising directions for future work in the field of automatic infographics and visualization recommendations.</span>
Key words: Automatic visualization    Data-driven    Knowledge-based    Machine learning    Visual embellishments
出版日期: 2020-08-11
通讯作者: GuodaoSun     E-mail: guodao@zjut.edu.cn
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Sujia Zhu
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Ronghua Liang

引用本文:

Sujia Zhu, GuodaoSun, Qi Jiang, Meng Zha, Ronghua Liang. A survey on automatic infographics and visualization recommendations . Vis Inf, 2020, 4(3): 24-40.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2020.07.002    或    http://www.zjujournals.com/vi/CN/Y2020/V4/I3/24

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