Interactive Ranking Uncertain Multivariate Ordinal Time Series

被引：0

作者：

Jia, Shichao ^{[1
]}

Wang, Jiaqi ^{[1
]}

Li, Zeyu ^{[1
]}

Zhang, Jiawan ^{[1
]}

机构：

[1] Tianjin Univ, Tianjin, Peoples R China

来源：

2019 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST) | 2019年

关键词：

Human-centered computing; Visualization; Visual analytics;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This work proposes a visual analytic technique to interactive rank uncertain multivariate ordinal time series for situational awareness. We use normalized entropy to quantify the uncertainty of the discrete survey data. The heatmap summarizes both the survey data and qualified uncertainty in a compact manner. Besides, the distributions of votes in neighborhoods are visualized using hexagons. This work presents the result of applying the solution to the VAST 2019 - Mini-Challenge 1 dataset, which led to the Award for Excellent Quantification of Abnormalities.

引用

页码：108 / 109

页数：2

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