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连接点:数据探索的多轴方法

Connecting the dots: A multi-pivot approach to data exploration
课程网址: http://videolectures.net/iswc2011_popov_multipivot/  
主讲教师: Igor Popov
开课单位: 因斯布鲁克大学
开课时间: 2011-11-25
课程语种: 英语
中文简介:
数据浏览器的目的是帮助用户有效地识别和查询数据,而不会被大型复杂的数据图表所淹没。在基于图形的数据集中识别和查询数据的建议解决方案是透视(或设置导向浏览),一种多对多的图形浏览技术,允许用户通过从一组实例开始然后通过公共链接导航来导航图。仅依赖于导航然而,当感兴趣的点可能分开许多顶点时,使得用户难以找到路径或甚至看到感兴趣的元素是否在图中。进一步的挑战包括寻找需要前向和后向链路的组合的路径,或者进行必要的连接,这进一步增加了枢转的复杂性。为了减轻这些问题的影响并增强枢轴的强度,我们提出了一种多透视方法,它体现在名为Visor的工具中。 Visor允许用户从图中的多个点进行探索,帮助用户在概念层面上连接图形中的关键点,从视觉上遮挡图形的其余部分,从而帮助创建导航路线图。我们进行了一项用户研究,以证明我们的方法的可行性。
课程简介: The purpose of data browsers is to help users identify and query data e ffectively without being overwhelmed by large complex graphs of data. A proposed solution to identify and query data in graph-based datasets is Pivoting (or set-oriented browsing), a many-to-many graph browsing technique that allows users to navigate the graph by starting from a set of instances followed by navigation through common links. Relying solely on navigation, however, makes it difficult for users to fi nd paths or even see if the element of interest is in the graph when the points of interest may be many vertices apart. Further challenges include finding paths which require combinations of forward and backward links in order to make the necessary connections which further adds to the complexity of pivoting. In order to mitigate the effects of these problems and enhance the strengths of pivoting we present a multi-pivot approach which we embodied in tool called Visor. Visor allows users to explore from multiple points in the graph, helping users connect key points of interest in the graph on the conceptual level, visually occluding the remainder parts of the graph, thus helping create a road-map for navigation. We carried out an user study to demonstrate the viability of our approach.
关 键 词: 数据浏览器; 多透视方法; 查询数据
课程来源: 视频讲座网
最后编审: 2019-05-05:lxf
阅读次数: 53