期刊文献+

多维数据的信息可视化方法及应用研究 被引量:10

Research on Visualization Techniques for- Multi Dimensional Data and Their Application
下载PDF
导出
摘要 将多维数据可视化可以帮助人们在有限的时间内快速理解和分析复杂的海量数据集,为决策提供依据。介绍了几种典型的多维数据可视化和交互方法;提出了用平行坐标和星形图技术对人体健康多维数据进行可视化和可视分析的设计方法,给出了可视化和分析结果,应用结果表明了这些方法有效性;本文介绍的多维数据可视化方法可应用于医学、金融、通信等多个领域。 Visualization of Multi-dimensional data is an effective method for helping people understand and analysis multivariate data sets.This paper introduced several typical visualization and interaction techniques for multi-dimensional data,including parallel coordinate and glyphs,presented a solution of visualizing human health multivariate data with coordinate parallel and glyphs techniques,and an analyzing case in Health Information Management and Evaluation system (HIMES).The application result demonstrates the effectiveness of these techniques.The visualization techniques presented in this paper can also be used in some other fields such as medicine,finance,business,etc.
作者 陈谊 谭桂龙
出处 《系统仿真学报》 CAS CSCD 北大核心 2008年第S1期327-329,333,共4页 Journal of System Simulation
基金 国家留学基金资助(2004811048)
关键词 多维数据 信息可视化 平行坐标 星形图 人体健康信息 multi-dimensional data information visualization parallel coordinate glyphs health information
  • 相关文献

参考文献6

  • 1马斌荣主编..医学科研中的统计方法[M].北京:科学出版社,1992:195.
  • 2Nahum Gershon,Steve Eick,Stuart Card.Information Visualization[].Proceedings of the IEEE Symposium on Information Visualization (InfoVis ‘).1995 被引量:1
  • 3Almir Olivette Artero,Maria Cristina Ferreira de Oliveira,Haim Levkowitz.Uncovering Clusters in Crowded Parallel Coordinates Visualizations[].IEEE Symposium on Information Visualization.2004 被引量:1
  • 4Jing Yang,Anilkumar Patro,Shiping Huang,Nishant Mehta,Matthew O Ward,Elke A.Rundensteiner.Value and Relation Display for Interactive Exploration of High Dimensional Dataseta[].IEEE Symposium on Information Visualization.2004 被引量:1
  • 5Joe Faith.Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets[].IEEE th International Conference Information Visualization (IV‘).2007 被引量:1
  • 6Jimmy Johansson,Patric Ljung,Mikael Jern,Matthew Cooper.Revealing Structure within Clustered Parallel Coordinates Displays[].Procee dings of the IEEE Symposium on Information Visualization (INFOVIS‘).2005 被引量:1

同被引文献69

引证文献10

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部