时空数据挖掘的一种新方法

Sabine Cassat, M. Serrano, Pourang Irani, E. Dubois
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引用次数: 0

摘要

每天都会生成时空数据集(STD)。通常,它们的可视化包括2D渲染或动画可视化,不适合探索如此复杂的数据。在本文中,我们提出了一种当前STD可视化的替代方法。我们的方法使用有形和可视化的工具,如微型机器人和触觉交互屏幕,以方便访问,解释和操作这类数据。虽然已经引入了有形元素来表示信息,但我们的系统提供了一种新的方法来探索传统工具不允许的多维数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new approach for spatio-temporal data mining
Spatio-temporal datasets (STD) are generated daily. Generally, their visualization includes 2D renderings or animated visualizations that do not fit to the exploration of such complex data. In this paper, we present an alternative approach to current STD visualizations. Our approach uses tangible and visual tools such as mini-robots and a tactile interaction screen to facilitate access, interpretation and manipulation of this kind of data. While tangible elements have been introduced to represent information, our system provides a new approach to explore multidimensional datasets that conventional tools would not allow.
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