From visual data exploration to visual data mining: a survey

• Published in: IEEE transactions on visualization and computer graphics Vol. 9; no. 3; pp. 378 - 394
• Main Authors: Ferreira de Oliveira, M.C., Levkowitz, H.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2003; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cognitive science; Data mining; Data visualization; Delta modulation; Displays; Exploration; Feedback; Graphical models; Mining; Tables (data); Terminology; Visual; Visual databases; Visualization
• ISSN: 1077-2626; 1941-0506
• DOI: 10.1109/TVCG.2003.1207445

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.