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  • 标题:Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data
  • 本地全文:下载
  • 作者:K. Hinum ; S. Miksch ; W. Aigner
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2005
  • 卷号:11
  • 期号:11
  • 页码:1792-1792
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Tracking and comparing psychotherapeutic data derived from questionnaires involves a number of highly structured, time-oriented parameters. Descriptive and other statistical methods are only suited for partial analysis. Therefore, we created a novel spring-based interactive Information Visualization method for analysing these data more in-depth. With our method the user is able to find new predictors for a positive or negative course of the therapy due to the combination of various visualization and interaction methods.
  • 关键词:interactive information visualization, medical domain, temporal data
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