3D visual data mining: goals and experiences

M Bohlen; L Bukauskas; PS Eriksen; SL Lauritzen; A Mazeika; P Musaeus; P Mylov

doi:10.1016/S0167-9473(02)00287-6

3D visual data mining: goals and experiences

M Bohlen, L Bukauskas, PS Eriksen, SL Lauritzen, A Mazeika, P Musaeus, P Mylov

11 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Tidsskrift	Computational Statistics & Data Analysis
Vol/bind	43
Udgave nummer	4
Sider (fra-til)	445-469
Antal sider	25
ISSN	0167-9473
DOI	https://doi.org/10.1016/S0167-9473(02)00287-6
Status	Udgivet - 2003
Udgivet eksternt	Ja

Adgang til dokumentet

10.1016/S0167-9473(02)00287-6

Citationsformater

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AU - Mylov, P

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