From visual data exploration to visual data mining: A survey

被引:202
|
作者
de Oliveira, MCF [1 ]
Levkowitz, H
机构
[1] Inst Ciencias Matemat, Sao Carlos, SP, Brazil
[2] Univ Massachusetts, Inst Visualizat & Percept Res, Lowell, MA 01854 USA
关键词
information visualization; visual data exploration; visual data mining; survey; framework; model;
D O I
10.1109/TVCG.2003.1207445
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:378 / 394
页数:17
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