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信息可视化在科技文献深度挖掘中的应用 被引量:16

Application of Information Visualization in Deep Mining Scientific and Technical LiteratureApplication of Information V^mlization in Deep Mining Scientific and Technical Literature
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摘要 信息可视化是常用的数据挖掘方法之一,它通过把海量的数据转化成可视化的形式让人们更容易观察、浏览和理解信息,并且找到数据中隐藏的模式。目前,国家已经建立海量的科技文献资源,但仅限于查询、浏览、全文传递等服务,没有得到充分的开发利用。本文介绍了利用信息可视化技术科技文献资源进行深度挖掘的方法,并介绍了一种监测模型CiteSpaceⅡ,它可以对科技文献中涌现的趋势和临时模式进行监测和可视化。最后总结出了利用信息可视化技术对科技文献资源进行深度挖掘的一般步骤和常用的开发工具。 Information visualization is commonly used method of data mining, which transform mass data into a visual form enabling the viewer to observe, browse, understand the information and find some models hidden in data easily. At present, there are mass literature resources which only serve for search, explore and fuN-text transfer, not developed and utilized fully. This paper introduce the method of using information visualization technology to mine science and technology resources, and describe a model CiteSpace Ⅱ , which can detect and visualize emerging trends and transient patterns in science and technology literature. According to this, the general procedures and tool of mining science and technology literature deeply are summarized.
出处 《情报学报》 CSSCI 北大核心 2007年第3期408-414,共7页 Journal of the China Society for Scientific and Technical Information
基金 本研究受十一五科技支撑计划项目《科技文献信息服务系统关键技术研究及应用示范》中的子项目《基于海量信息分析的科技评价方法、技术研究与应用》支持(项目编号:2006BAH03805).
关键词 信息可视化 数据挖掘 科技文献 科技监测 CiteSpaceⅡ information visualization, data mining, scientific and technical literature, science and technology monitoring, CiteSpace Ⅱ
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  • 1朱东华,袁军鹏.基于数据挖掘的科技监测方法研究[J].管理工程学报,2004,18(4):135-139. 被引量:59
  • 2毕克新,郭东亮,姚秀荣.科技信息与现代科研管理[J].科研管理,1995,16(3):16-19. 被引量:17
  • 3Chaomei Chen.Visualising Semantic Spaces and Author Co-Citation Networks in Digital Libraries.Information Processing &Management,1999(35):401-420
  • 4Edna Reid,Hsinchun Chen.Mapping the Contemporary Terrorism Research Domain:Researchers,Publication,and Institutions Analysis.P Kantor et al.(Eds.).ISI 2005.LNCS 3495.2005:322-339
  • 5Daniel A Keim,Ming C Hao,Umesh Dayal,Meichun Hsu.Pixel bar charts:a visualization technique for very large multi-attributes data sets.Information Visualization,2001:1-14
  • 6KwanLiu Ma.User Interfaces for Managing and Exploring Scientific Visualization Data.IEEE Computer Graphics and Applications,2000(9-10):16-19
  • 7George G Robertson,Jock D Mackinlay,Stuart K Card.Cone Trees:animated 3D visualizations of hierarchical information.Conference on Human Factors in Computing Systems,1997:189-194
  • 8Mizoguchi F.Anomaly detection using visualization and machine learning.Enabling Technologies:Infrastructure for Collaborative Enterprises.Proeedings.IEEE 9th International Workshops on 14-16 June,2000:165-170
  • 9B. R. Martin. Foresight in science and technology[j]. Technology analysis and strategic management, 1995.
  • 10S.P. Sehnaars. Megamistakes: Forecasting and the myth of rapid technological Change. New York : Free Press, 1989.

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