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3D VISUALIZATION AND VIRTUAL REALITY FOR VISUAL DATA MINING: A Survey

机译:3D可视化和视觉数据挖掘的虚拟现实:调查

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Visual Data Mining (VDM) aims at an easier interpretation of data mining algorithm results through the use of visualization techniques. During the last decade, many techniques of information visualization have been proposed, allowing visualization of multidimensional data. Previously, ((Chi, 2000), (Herman et al., 2000)) attempted to classify VDM techniques. However, these taxonomies do not take into account some innovative techniques based on 3D visualization and virtual environments (VEs). In this paper, we propose an exhaustive survey of recent techniques for VDM. These different techniques are detailed, classified and compared according to the following criteria: graphical encoding, interaction techniques and applications. Moreover, they are presented in tables together with graphical illustrations.
机译:视觉数据挖掘(VDM)旨在通过使用可视化技术更容易地解释数据挖掘算法导致的结果。在过去十年中,已经提出了许多信息可视化技术,允许可视化多维数据。以前,((Chi,2000),(Herman等,2000))试图对VDM技术进行分类。但是,这些分类学不考虑基于3D可视化和虚拟环境(VES)的一些创新技术。本文提出了对VDM最近技术的详尽综述。根据以下标准,详细,分类和比较这些不同的技术:图形编码,交互技术和应用。而且,它们以表格显示在表格中。

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