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Interactive Visualization of Spatial Multidimensional Data
2017
Romanian Conference on Human-Computer Interaction
The multidimensional spatial data understanding needs adaptive and performant algorithms executed on reasonable time. In order to discover the optimal complex algorithms, the visual analysis has to integrate the complex algorithmic processing over high performance processing infrastructures with interactive visual navigation throughout the data space. The visualization throughout the sparse value spaces is not a trivial task. This paper presents two interactive visualization techniques of the
dblp:conf/rochi/MaximG17
fatcat:g4mj4lmcorbhrehbapk4leeque