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Conjunctive Visual Forms

机译:联合视觉形式

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摘要

Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interactions. Recent visual analytics research has made significant progress in identifying and understanding patterns of composed views and coordinations that support fast, flexible, and open-ended data exploration. What is missing is formalization of the space of expressible queries in terms of visual representation and interaction. This paper introduces the Conjunctive Visual Form model in which visual exploration consists of interactively-driven sequences of transitions between visual states that correspond to conjunctive normal forms in boolean logic. The model predicts several new and useful ways to extend the space of rapidly expressible queries through addition of simple interactive capabilities to existing compositional patterns. Two recent related visual tools offer a subset of these capabilities, providing a basis for conjecturing about such extensions.
机译:多维数据的可视化探索是一个隔离和提取维内部和维之间关系的过程。协作式多视图方法对于视觉探索特别有效,因为它们支持使用简单的交互来精确表达异构多维查询。最近的可视化分析研究在识别和理解组合视图和协调模式方面取得了重大进展,这些视图和协调模式支持快速,灵活和开放式数据探索。缺少的是在视觉表示和交互方面可表达查询空间的形式化。本文介绍了“合取视觉形式”模型,其中视觉探索由交互驱动的视觉状态之间的转换序列组成,这些状态对应于布尔逻辑中的合取正规形式。该模型通过将简单的交互功能添加到现有的组合模式中,预测了几种新的有用的方法来扩展可快速表达的查询的空间。最近有两个相关的可视化工具提供了这些功能的子集,为猜测此类扩展提供了基础。

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