多变量事件的上下文可视化分析

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Lei Peng , Ziyue Lin , Natalia Andrienko , Gennady Andrienko , Siming Chen
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引用次数: 0

摘要

对于事件分析而言,事件发生前后的信息在某些情况下至关重要。通过在事件分析中纳入情境化视角,分析人员可以从事件中获得更深入的见解。我们提出了一个情境可视化分析框架,该框架能够识别和解释多元事件内部和之间的时间模式。该框架包括多变量事件上下文的可视化表示设计、支持可视化的数据处理工作流程和以上下文为中心的可视化分析系统,以促进对时间模式的交互式探索。为了证明我们的框架的适用性和有效性,我们使用来自两个不同领域的真实世界数据集进行了案例研究,并与经验丰富的数据分析师进行了专家研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contextualized visual analytics for multivariate events
For event analysis, the information from both before and after the event can be crucial in certain scenarios. By incorporating a contextualized perspective in event analysis, analysts can gain deeper insights from the events. We propose a contextualized visual analysis framework which enables the identification and interpretation of temporal patterns within and across multivariate events. The framework consists of a design of visual representation for multivariate event contexts, a data processing workflow to support the visualization, and a context-centered visual analysis system to facilitate the interactive exploration of temporal patterns. To demonstrate the applicability and effectiveness of our framework, we present case studies using real-world datasets from two different domains and an expert study conducted with experienced data analysts.
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来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
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