SightBi: Exploring Cross-View Data Relationships with Biclusters
SightBi: Exploring Cross-View Data Relationships with Biclusters
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DOI：
10.1109/tvcg.2021.3114801
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发表时间：
2021-08
影响因子：
5.2
通讯作者：
Maoyuan Sun;A. Shaikh;Hamed Alhoori;Jian Zhao
中科院分区：
文献类型：
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作者：
Maoyuan Sun;A. Shaikh;Hamed Alhoori;Jian Zhao
多视图可视化（MV）已在视觉分析工具中大量使用，用于在各个领域（例如生物信息学，网络安全和文本分析）中对数据进行感知。具有多种视图的视觉分析的一项常见任务是将数据跨不同视图关联。例如，要确定威胁，情报分析师需要将人们从社交网络图与犯罪地图上的位置联系起来，然后搜索和阅读相关文档。当前，探索跨视图数据关系在很大程度上依赖于视图协调技术（例如刷牙和链接），这可能需要在许多试用和错误尝试上进行大量的用户工作，例如重复选择一个视图中的元素，然后观察并在其他视图中突出显示了以下元素。为了解决这个问题，我们介绍了Sightbi，这是一种视觉分析方法，用于支持跨视图数据关系探索。我们详细讨论了Vightbi的设计基本原理，并确定了有关跨视图数据关系使用的用户任务。 Sightbi将跨视图数据关系正式为双晶布，从数据集中计算它们，并使用Bi-Context设计，该设计突出显示了创建独立的关系视图。这有助于保留现有视图，并提供跨视图数据关系的概述，以指导用户探索。此外，Sightbi允许用户通过使用新创建的关系视图来交互性地管理多个视图的布局。在使用情况下，我们演示了Sightbi对跨视图数据关系的感觉的有用性。
Multiple-view visualization (MV) has been heavily used in visual analysis tools for sensemaking of data in various domains (e.g., bioinformatics, cybersecurity and text analytics). One common task of visual analysis with multiple views is to relate data across different views. For example, to identify threats, an intelligence analyst needs to link people from a social network graph with locations on a crime-map, and then search for and read relevant documents. Currently, exploring cross-view data relationships heavily relies on view-coordination techniques (e.g., brushing and linking), which may require significant user effort on many trial-and-error attempts, such as repetitiously selecting elements in one view, and then observing and following elements highlighted in other views. To address this, we present SightBi, a visual analytics approach for supporting cross-view data relationship explorations. We discuss the design rationale of SightBi in detail, with identified user tasks regarding the use of cross-view data relationships. SightBi formalizes cross-view data relationships as biclusters, computes them from a dataset, and uses a bi-context design that highlights creating stand-alone relationship-views. This helps preserve existing views and offers an overview of cross-view data relationships to guide user exploration. Moreover, SightBi allows users to interactively manage the layout of multiple views by using newly created relationship-views. With a usage scenario, we demonstrate the usefulness of SightBi for sensemaking of cross-view data relationships.