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MTDES: Multi-dimensional Temporal Data Exploration System; Strong Support for Exploratory Analysis Award in VAST 2018, Mini-Challenge 2

机译:MTDES:多维时间数据探索系统;在VAST 2018迷你挑战赛2中大力支持探索性分析奖

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摘要

This work proposes a visual analytic solution which is well-designed to provide investigative functions with fluent interactions to analyze multi-dimensional temporal data. The solution allows users to view different dimensions of the data at different levels of details with a well-designed mixture of different visualizations and smooth interactions. At the general/overview level, various aggregation strategies are used to reduce data to be visualized, and different sorting procedures are used to cluster correlated data together to help discover patterns. Detail views are provided to explore and confirm/reject the identified patterns. Interaction and smooth transition between views are implemented to enable natural actions while performing analysis tasks. This work also presents the result of applying the solution to the VAST 2018 - Mini-Challenge (MC) 2 dataset, which led to the Strong Support for Exploratory Analysis award for the challenge.
机译:这项工作提出了一种视觉分析解决方案,该解决方案经过精心设计,可提供具有流畅交互作用的调查功能,以分析多维时间数据。该解决方案允许用户以精心设计的各种可视化效果和流畅的交互方式,在不同细节级别上查看数据的不同维度。在总体/概述级别,各种聚合策略用于减少要可视化的数据,并且使用不同的排序过程将相关数据聚类在一起以帮助发现模式。提供详细视图以探索和确认/拒绝所识别的模式。实现视图之间的交互作用和平滑过渡,以在执行分析任务时启用自然动作。这项工作还展示了将该解决方案应用于VAST 2018-Mini-Challenge(MC)2数据集的结果,从而为该挑战带来了“探索性分析的强大支持”奖。

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