论文标题
冰：通过多尺度矩阵和单位可视化确定并比较事件序列集
ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations
论文作者
论文摘要
事件序列数据的比较分析在许多应用领域，例如网站设计和医疗保健中都是必不可少的。但是，分析师经常面临两个挑战：他们可能并不总是知道数据中哪些事件序列可用于比较，并且由于数据的体积和复杂性，需要在不同的粒度下进行比较。本文介绍了ICE，一种交互式可视化，允许分析师探索事件序列数据集，并确定有希望的事件序列集以在模式和序列级别上进行比较。更具体地说，ICE结合了一个基于多级矩阵的可视化，以根据序列的前缀和后缀浏览整个数据集。为了支持多个级别的比较，ICE采用了单元可视化技术，我们进一步探索了单元可视化的设计空间，以进行事件序列比较任务。最后，我们通过来自不同领域的三个现实世界数据集证明了冰的有效性。
Comparative analysis of event sequence data is essential in many application domains, such as website design and medical care. However, analysts often face two challenges: they may not always know which sets of event sequences in the data are useful to compare, and the comparison needs to be achieved at different granularity, due to the volume and complexity of the data. This paper presents, ICE, an interactive visualization that allows analysts to explore an event sequence dataset, and identify promising sets of event sequences to compare at both the pattern and sequence levels. More specifically, ICE incorporates a multi-level matrix-based visualization for browsing the entire dataset based on the prefixes and suffixes of sequences. To support comparison at multiple levels, ICE employs the unit visualization technique, and we further explore the design space of unit visualizations for event sequence comparison tasks. Finally, we demonstrate the effectiveness of ICE with three real-world datasets from different domains.
