视觉分析中的不确定性事件的分类
IEEE computer graphics and applications
|August 18, 2023
概括
本研究介绍了一种分类法,用于在视觉分析 (VA) 过程中对不确定性事件进行分类. 了解这些事件对于可靠的数据分析和洞察力产生至关重要.
科学领域:
- 计算机科学 计算机科学
- 信息可视化 信息可视化
背景情况:
- 视觉分析 (VA) 对于数据分析和洞察力产生至关重要.
- 不确定性可能来自VA过程中的各种组件.
- 区分这些不确定性事件对于准确的解释至关重要.
研究的目的:
- 提出视觉分析周期中不确定性事件的综合分类.
- 基于VA周期的组件来构建分类学.
- 确定不同不确定性事件之间的依赖关系.
主要方法:
- 开发了潜在不确定性事件的分类学.
- 沿着视觉分析周期的组件构建了分类结构.
- 确定和列出不确定性事件之间的依赖关系.
主要成果:
- 介绍了视觉分析中不确定性事件的结构分类.
- 已经确定了各种不确定性事件之间的依赖关系.
- 一个现实世界的例子表明了分类学的实际应用.
结论:
- 拟议的分类学为理解和管理视觉分析中的不确定性提供了一个框架.
- 识别依赖关系有助于减轻不确定性的影响.
- 分类学是该领域的研究人员和从业人员的实用工具.
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