In atmospheric science, 3D visualization techniques have been mainly used to create impressive presentation in recent decades. However, from the viewpoint of utilize for visual data mining, 3D visualization methodology has difficulties in becoming wide spread because most conventional and established way is to make 2D diagrams consisting of two dimensions of a temporal transitional 3D grid. From these observations, we have been developing a quick look tool of atmospheric science data for 3d visual data mining. We expect that scientists can utilize this tool for finding out 2D diagrams from the data by using various 2D or 3D visualization methods, and become accustomed themselves to 3D visualization methods. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
Watanabe, C., Tourna, E., Yamauchi, K., Noguchi, K., Hayashida, S., & Joe, K. (2008). Development of an interactive visual data mining system for atmospheric science. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4759 LNCS, pp. 279–286). Springer Verlag. https://doi.org/10.1007/978-3-540-77704-5_26
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