期刊文献+

可视化数据挖掘技术 被引量:3

Visual Data Mining Techniques
下载PDF
导出
摘要 通过对可视化数据挖掘进行分类和总结,提出将可视化数据类型和可视化与数据挖掘结合的思想。由于可视化数据挖掘的优势是用户能直接参与数据挖掘过程,通过对挖掘过程中各个阶段反馈的信息可视化结果的分析,用户可以将领域知识和数据挖掘算法有效地结合在一起,完成用户和算法的交互。因此,可视化数据挖掘技术将成为今后数据挖掘领域中研究的热点。 Through the classification and summarization of visual data mining, the paper presents a way of combining the type of visual data, visualization and data mining together. Visual data mining can help in dealing with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process, through analysis the results of the information visualization, user can integrate the specialist knowledge with the data mining algorithm. Hence, visual data mining techniques will be a hot researching domain.
出处 《吉林大学学报(信息科学版)》 CAS 2006年第6期567-571,共5页 Journal of Jilin University(Information Science Edition)
基金 国家自然科学基金资助项目(60275026)
关键词 可视化数据挖掘 信息可视化 分类 visual data mining information visualization classification
  • 相关文献

参考文献26

  • 1NAHUM D GERSHON,STEPHEN G EICK.Information Visualization[J].IEEE Computer Graphics and Applications,1997,7 (8):29-31.
  • 2KEIM D A,KRIEGEL H P,ANKERST M.Recursive Pattern:A Technique for Visualizing Very Large Amounts of Data[C]//Proc Visualization 95.Atlanta:IEEE Computer Society Press,1995:279-286.
  • 3ANKERST M,KEIM D A,KRIEGEL H P.Circle Segments:A Technique for Visually Exploring Large Multidimensional Data Sets[C]// Proc Visualization 96.Atlanta:IEEE Computer Society Press,1996:203-206.
  • 4TANG D,STOLTE C,HANRAHAN P.Polaris:A System for Query,Analysis and Visualization of Multi-Dimensional Relational Databases[J].Transactions on Visualization and Computer Graphics,2001,8 (1):52-65.
  • 5ABELLO J,KORN J.Mgv:A System for Visualizing Massive Multi-Digraphs[J].Transactions on Visualization and Computer Graphics,2001,8 (1):21-38.
  • 6CLEVELAND W S.Visualizing Data[M].New Jersey,USA:Hobart Press,1993.
  • 7INSELBERG A,DIMSDALE B.Parallel Coordinates:A Tool for Visualizing Multi-Dimensional Geometry[C] //Proc Visualization 90.Atlanta:IEEE Computer Society Press,1990:361-370.
  • 8KANDOGAN E.Visualizing Multi-Dimensional Clusters,Trends,and Outliers Using Star Coordinates[C] //Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.San Francisco,California:ACM Press,2001:107-116.
  • 9RAO R,CARD S K.The Table Lens:Merging Graphical and Symbolic Representation in an Interactive Focus + Context Visualization for Tabular Information[C] //Proc Human Factors in Computing Systems CHI 94 Conf.Boston:ACM Press,1994:318-322.
  • 10NOWELL L,HAVRE S,HETZLER B,et al.Themeriver:Visualizing Thematic Changes in Large Document Collections[J].Transactions on Visualization and Computer Graphics,2001,8 (1):9-20.

同被引文献31

引证文献3

二级引证文献8

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