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连续节点特点在图形交互式可视化
Interactive Visualization of Continuous Node Features in Graphs |
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| 课程网址: |
http://videolectures.net/ecmlpkdd09_haun_ivcnfg/
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| 主讲教师: |
Stefan Haun
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| 开课单位: |
马格德堡大学
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| 开课时间: |
2009-10-20
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| 课程语种: |
英语
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| 中文简介: |
普通图形只支持离散结构。本文提出了一种将连续数据嵌入 – 如时间戳或 – 在离散图形模型中的一系列测量的方法。这些连续的元信息隐式地定义了在图形本身中没有显式定义的顶点之间的关系。我们称之为诱导非离散图结构 (nodes)。该模型有助于可视化与时间相关的模型或来自物理域的值。我们提供了基于图形和基于实例和注释的两个映射的 nodes 的正式定义, 以实现已经已知的图形结构和可视化。多部投影的可视化提供了来自多个上下文的信息表示, 从而使 nodes 能够用于通用上下文切换机制, 该机制用于与这些结构的交互。最后, 我们介绍了一个使用 nodes 的代理驱动事件调度的应用概念。
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| 课程简介: |
Ordinary graphs only support discrete structures. In this paper we present an approach towards embedding continuous data – like time stamps or series of measurements – in discrete graph models. These continuous meta-information implicitly define relations between vertices which are not explicitly defined in the graph itself. We call this an induced Non-Discrete Graph Structure (NoDeS). The model is helpful for visualization of time-dependent models or values from physical domains. We provide a formal definition of NoDeS based on graphs and two mappings, instance and annotation based, to already known graph structures and visualizations. A visualization of multi-partite projection provides a representation of information from several contexts, enabling NoDeS for a generic context switching mechanism which is used for interaction with these structures. Finally, we introduce an application concept for agent-driven event scheduling using NoDeS.
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| 关 键 词: |
计算机科学; 数据挖掘; 图形交互式
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-11：dingaq
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| 阅读次数: |
62
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