From visual data exploration to visual data mining: A survey
From visual data exploration to visual data mining: A survey
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DOI：
10.1109/tvcg.2003.1207445
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发表时间：
2003-07-01
影响因子：
5.2
通讯作者：
Levkowitz, H
中科院分区：
文献类型：
--
作者：
de Oliveira, MCF;Levkowitz, H
我们调查工作的不同用途的图形映射和交互技术的可视化数据挖掘的大型数据集表示为表数据。介绍了与数据挖掘、数据集和可视化相关的基本术语。根据技术和系统的不同分类，回顾了信息可视化的研究进展。交互技术的作用进行了讨论，除了工作解决问题的选择和评估可视化技术。我们回顾了一些有代表性的工作，使用信息可视化技术的背景下，挖掘数据。这包括可视化数据探索和可视化地表达特定挖掘算法的结果。我们还回顾了最近的创新方法，试图将可视化集成到DM/KDD过程中，使用它来增强用户的交互和理解。
We survey work on the different uses of graphical mapping and interaction techniques for visual data mining of large data sets represented as table data. Basic terminology related to data mining, data sets, and visualization is introduced. Previous work on information visualization is reviewed in light of different categorizations of techniques and systems. The role of interaction techniques is discussed, in addition to work addressing the question of selecting and evaluating visualization techniques. We review some representative work on the use of information visualization techniques in the context of mining data. This includes both visual data exploration and visually expressing the outcome of specific mining algorithms. We also review recent innovative approaches that attempt to integrate visualization into the DM/KDD process, using it to enhance user interaction and comprehension.