3D visual data mining: goals and experiences
Research output: Contribution to journal › Journal article › Research › peer-review
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3D visual data mining : goals and experiences. / Bohlen, M; Bukauskas, L; Eriksen, PS; Lauritzen, SL; Mazeika, A; Musaeus, P; Mylov, P.
In: Computational Statistics & Data Analysis, Vol. 43, No. 4, 2003, p. 445-469.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - 3D visual data mining
T2 - goals and experiences
AU - Bohlen, M
AU - Bukauskas, L
AU - Eriksen, PS
AU - Lauritzen, SL
AU - Mazeika, A
AU - Musaeus, P
AU - Mylov, P
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
U2 - 10.1016/S0167-9473(02)00287-6
DO - 10.1016/S0167-9473(02)00287-6
M3 - Journal article
VL - 43
SP - 445
EP - 469
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
SN - 0167-9473
IS - 4
ER -
ID: 127504916