文章基本信息

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 等
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