期刊文献+

基于非相关文献知识发现系统的算法 被引量:10

Algorithms of Disjoint Literature-based Discovery System
原文传递
导出
摘要 论述了国外基于非相关文献的知识发现系统中所使用的算法---四种关联挖掘算法即Association Rules、TF-IDF、Z-Score和MIM,三种目标词排序算法即AMW、LTC-AMW和COH,希望能对国内知识发现方法的研究提供参考,以指导国内研究者开发出适合中文文献数据库的知识发现系统,为医学及其他领域提供有用的知识发现工具。 The paper discusses algorithms used in disjoint literature-based discovery system at abroad-four correlation-mining algorithms,namely,Association Rules,TF-IDF,Z-Score and MIM,three different target-term ranking algorithms,namely,AMW,LTC-AMW and COH.we hope that it can provide references for domestic research about disjoint literature-based discovery to guide domestic researchers to develop discovery system,which is fit for Chinese document database,and to provide useful knowledge discovery tool for the medical and other fields.
出处 《情报科学》 CSSCI 北大核心 2009年第12期1824-1828,共5页 Information Science
关键词 知识发现系统 关联挖掘算法 目标词排序算法 discovery system correlation-mining algorithm target-term ranking algorithm
  • 相关文献

参考文献15

  • 1Weeber M,Klein H,Lolkje TW,et al.Using Concepts in Literature,Based Discovery: Simulating Swanson's Raynaud-Fish Oil and Migraine-Magnesium Discoveries [J].Journal of the American Society for Information Science and Technology, 2001,52(7):548-557. 被引量:1
  • 2Weeber M,Klein H,Aronson A.Text-Based Discovery in Biomedicine:The Architecture of the DAD-system [EB/OL]. http://www. amia.org/pubs/symposia/D200133. PDF,2006- 09-20. 被引量:1
  • 3Yetisgen-Yildiz M,Pratt W.A New Evaluation Methodology for Literature-Based Discovery Systems [J].Journal of Biomedical lnformafics,2008,( 12): 1-48. 被引量:1
  • 4Yetisgen-Yildiz M,Pratt W.Using statistical and knowledge-based approaches for literature-based discovery[J].Journal of Biomedical hfformatics,2006,(39):600-611. 被引量:1
  • 5Srinivasan P.Generating hypotheses from MEDLINE[J].Journal of the American Society for Information Science and Technology,2004,55(5): 396-413. 被引量:1
  • 6Hristovski D,Stare J,Peterlin B,et al.Supporting discovery in medicine by association rule mining in Medline and UMLS [J].Studies in Health Technology and Informatics,2001,84(2): 1344-1348. 被引量:1
  • 7Lindsay R.K,Gordon M.D.Literature-Based Discovery by Lexical Statistics[J].Journal of American Society for Information Science, 1999,50(7):574-587. 被引量:1
  • 8Swanson D.R,Smalheiser N.R,Torvik V.l.Ranking Indirect Connections in Literature-Based Discovery:The Role of Medical Subject Headings[J].Journal of the American Society for Information Science and Technology,2006,57 (11):1427- 1439. 被引量:1
  • 9马明,郑静晨,许建阳,武夷山.基于MEDLINE的非相关文献知识发现[J].中华医学图书情报杂志,2004,13(5):1-3. 被引量:14
  • 10郝丽云,郭启煜.主题词分析法进行非相关文献知识发现的探索(Ⅰ)——模拟Swanson的知识发现过程[J].情报学报,2007,26(5):741-747. 被引量:7

二级参考文献96

共引文献35

同被引文献174

引证文献10

二级引证文献57

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