3D Visual Data Mining: goals and experiences
Publication: Research - peer-review › Journal article
The visual exploration of large databases raises a number of unresolved inference problems and calls for new interaction patterns between multiple disciplines--both at the conceptual and technical level. We present an approach that is based on the interaction of four disciplines: database systems, statistical analyses, perceptual and cognitive psychology, and scientific visualization. At the conceptual level we offer perceptual and cognitive insights to guide the information visualization process. We then choose cluster surfaces to exemplify the data mining process, to discuss the tasks involved, and to work out the interaction patterns.
|Journal||Computational Statistics & Data Analysis|
|Pages||445 - 469|
- Immersive data exploration, Nested density surfaces, Observer relative data extraction, Perception of space and objects, Visual data mining
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