Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
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Inspector Gadget：在可视化分析循环中集成数据预处理和编排
DOI：
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发表时间：
2015
期刊：
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通讯作者：
Thomas Ertl
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文献类型：
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作者：
Robert Krüger;Dominik Herr;Florian Haag;Thomas Ertl
如今，跟踪设备又小又便宜。对于分析任务，获取足够的数据量是没有问题的。挑战在于如何理解数据，这些数据往往包含复杂的情况。必须映射与时间、空间和其他维度相关的具有不同分辨率和符号的多个数据源。可视化方法通常涵盖了在预处理之后立即开始的分析循环。在本文中，我们贡献的方法，明确集成数据预处理和编排到可视化分析循环。随后，可以详细探索大局，并可以创建、细化和验证假设。我们展示了我们的方法与多个异构数据集从VAST挑战2014年。
Nowadays, tracking devices are small and cheap. For analysis tasks, there is no problem to obtain sufficient amounts of data. The challenge is how to make sense of the data, which often contain complex situations. Multiple data sources related to time, space, and other dimensions, with different resolution and notation have to be mapped. Visual approaches often cover an analysis loop that starts right after the preprocessing. In this paper, we contribute methods to explicitly integrate data preprocessing and orchestration into the visual analysis loop. Subsequently, the big picture can be explored in detail and hypotheses can be created, refined, and validated. We showcase our approach with multiple heterogeneous datasets from the VAST Challenge 2014.