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3D data visualization techniques and applications for visual multidimensional data mining
[article]
2014
Despite modern technology provide new tools to measure the world around us, we are quickly generating massive amounts of high-dimensional, spatialtemporal data. In this work, I deal with two types of datasets: one in which the spatial characteristics are relatively dynamic and the data are sampled at different periods of time, and the other where many dimensions prevail, although the spatial characteristics are relatively static. The first dataset refers to a peculiar aspect of uncertainty
doi:10.14273/unisa-394
fatcat:wyckqmhstjbs7o2eotuc7zy25e