A Data Forest: Multi-Dimensional Visualization

R. Jamieson, V. Alexandrov
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Abstract

As terabyte datasets become the norm, the focus has shifted away from our ability to produce and store ever larger amounts of data, onto its utilization. It is becoming increasingly difficult to gain meaningful insights into the data produced. Also many forms of the data we are currently producing cannot easily fit into traditional visualization methods. This paper presents a new and novel visualization technique based on the concept of a data forest. Our data forest has been designed to be used with virtual reality (VR) as its presentation method. VR is a natural medium for investigating large datasets. Our approach can easily be adapted to be used in a variety of different ways, from a stand alone single user environment to large multi-user collaborative environments. A test application is presented using multi-dimensional data to demonstrate the concepts involved.
数据森林:多维可视化
随着tb级数据集成为常态,我们的关注点已经从生成和存储更大量数据的能力转移到了数据的利用上。对产生的数据获得有意义的见解变得越来越困难。此外,我们目前产生的许多形式的数据不能轻易地适应传统的可视化方法。基于数据森林的概念,提出了一种新的可视化技术。我们的数据森林被设计为使用虚拟现实(VR)作为其表示方法。VR是调查大型数据集的天然媒介。我们的方法可以很容易地适应各种不同的方式,从独立的单用户环境到大型的多用户协作环境。测试应用程序使用多维数据来演示所涉及的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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