期刊文献+

判断新兴研究趋势的技术框架研究 被引量:17

A Study on the Technology Framework for Detecting Emerging Trend in Medical Research
下载PDF
导出
摘要 目前,新兴研究趋势的探测成为国内外的研究热点。本文分析了新兴研究趋势的概念以及国外在新兴研究趋势探测上所做的相关工作,并分析了当前研究存在的一些问题。同时结合对新兴研究趋势表现特点的总结,笔者提出从海量的信息资源中判断新兴研究趋势的技术框架,并以医学信息资源为数据来源,综合采用文本挖掘技术、文献计量学、网络计量学、时间序列分析等方法,来完成主题领域界定、主题特征表示以及最终的综合判断。 Detecting emerging trend has become a hot research topic in domestic and overseas academic circles. This paper investigates the concept of emerging trend and overseas researches conducted on the topic. It makes an analysis on the existing problems in the present research. With a summary of the characteristics of emerging trend, the author proposes the technology framework for detecting emerging trend in massive information. Taking medical information as its data source, this paper integrates the methods of text mining, bibliometrics, web metrics, time series analysis etc. to complete the tasks of topic area identification, topic area representation and topic area verification.
作者 殷蜀梅
出处 《图书情报知识》 CSSCI 北大核心 2008年第3期76-80,共5页 Documentation,Information & Knowledge
基金 “十一五”国家科技支撑计划重点项目“科技文献信息服务系统关键技术研究及应用示范”之“网络科技信息监测与评价”(2006BAH03B05)的研究成果之一
关键词 新兴研究趋势探测 系统分析 文本挖掘 技术框架 医学数据挖掘 Emerging trend detection System analysis Text mining Technology framework Medical data mining
  • 相关文献

参考文献13

  • 1Chaomei Chen. CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology,2006(3). 被引量:1
  • 2April Kontostathis et al. A Survey of Emerging Trend Detection in Textual Data Mining. A Comprehensive Survey of Text Mining, chapter 9. Springer-Verlag, 2003. 被引量:1
  • 3Price D D. Networks of scientific papers. Science, 1965, 149:510-515. 被引量:1
  • 4Essential Science Indicators. http://www. esi-topics. com/RFmet hodology, html( 2007-08-01 ). 被引量:1
  • 5Soma Roy,David Gery,William M. Pottenger. Methologies for Trend Detection in Textual Data Mining. http:// dimacs, rutgers, edu/- billp/pubs/ETDMethodologies. pdf(2007-08-01). 被引量:1
  • 6Matsumura,Naohiro et al. Discovering Emerging Topics from WWW. Journal of Contingencies and Crisis Management, 2002 (2). 被引量:1
  • 7Susan Havre, Beth Hetzler, Lucy Nowell. ThemeRiver^TM: In Search of Trends, Patterns, and Relationships. http://infoviz, pnl. gov/pdf/themeriver99, pdf ( 2007-08- 01). 被引量:1
  • 8Alan L. Porter, Michael J. Detampel. Technology Opportunities Analysis. Technological Forecasting and Social Change 1995,49:237-255. 被引量:1
  • 9Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant. Discovering Trends in Text Database. Proceedings of KDD- 97(1997) ,227-230. 被引量:1
  • 10Russell Swan, David Jensen. TimeMines:Constructing Timelines with Statistical Models of Word Usage. http://www. cs. cmu. edu/- dunja/KDDpapers/Swan TM. pdf(2007-08-01). 被引量:1

二级参考文献8

共引文献21

同被引文献248

引证文献17

二级引证文献230

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