From visual data exploration to visual data mining: a survey

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 li...

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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)
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ISSN:1077-2626, 1941-0506
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Abstract 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.
AbstractList 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.
Author Ferreira de Oliveira, M.C.
Levkowitz, H.
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Snippet 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...
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SubjectTerms Cognitive science
Data mining
Data visualization
Delta modulation
Displays
Exploration
Feedback
Graphical models
Mining
Tables (data)
Terminology
Visual
Visual databases
Visualization
Title From visual data exploration to visual data mining: a survey
URI https://ieeexplore.ieee.org/document/1207445
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Volume 9
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