Development of an interactive visual data mining system for atmospheric science

  • Authors:
  • Chiemi Watanabe;Eriko Touma;Kazuko Yamauchi;Katsuyuki Noguchi;Sachiko Hayashida;Kazuki Joe

  • Affiliations:
  • Department of Information Sciences, Ochanomizu University and Department of Information and Computer Science, Faculty of Science, Nara women's University, Nara-city, Nara, Japan;Department of Information and Computer Science, Faculty of Science, Nara Women's University, Nara-city, Nara, Japan;Department of Information and Computer Science, Faculty of Science, Nara Women's University, Nara-city, Nara, Japan;Department of Information and Computer Science, Faculty of Science, Nara Women's University, Nara-city, Nara, Japan;Department of Information and Computer Science, Faculty of Science, Nara Women's University, Nara-city, Nara, Japan;Department of Information and Computer Science, Faculty of Science, Nara Women's University, Nara-city, Nara, Japan

  • Venue:
  • ISHPC'05/ALPS'06 Proceedings of the 6th international symposium on high-performance computing and 1st international conference on Advanced low power systems
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.