期刊文献+

国外知识发现研究进展可视化分析

International Research Status about Knowledge Discovery Based on Mapping Knowledge Domain
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摘要 利用知识可视化软件(CiteSpaceⅡ)对Web of Science(SCI,SSCI,A&HCI)中收录的1965-2011年3142篇知识发现研究论文和其所包含的8569篇参考文献进行分析。分别对相关论文的时间、学科、机构、国别、主流研究领域以及经典著作进行分析,结果表明,近年来国外知识发现研究围绕着决策树、关联规则、神经网络三大主要领域,以计算机科学、工程学、运筹学与管理学、化学等学科为主要载体进行研究,研究成果增长趋势明显,其中美国、中国的研究成果最为丰富。 A sample of 3142 papers and their 8569 reference on knowledge discovery included in Web of Science (SCIE, SSCI, A&HCI) published during 1965 -2011 are analyzed with CiteSpace II software by time distribution, subject distri- bution, institutional distribution, country distribution, and major research area and their representative works to reveal the research status of the field. The results show that the main research hot topics are decision trees, association rules and neu- ral networks ; computer science, engineering science, operations research & management science and chemistry science are major subjects; most research outputs are America and China.
作者 杨硕妍
出处 《科技管理研究》 CSSCI 北大核心 2014年第7期167-172,共6页 Science and Technology Management Research
关键词 知识发现 知识图谱 CitespaceⅡ 知识可视化 研究进展 研究现状 knowledge discovery mapping knowledge domain Citespacel knowledge visualization research progress research status
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参考文献14

  • 1杨炳儒.知识发现领域中当今面临的五类重大问题[J].中国工程科学,2009,11(4):76-83. 被引量:2
  • 2RICHARDS F D. Basic knowledge discovery and invention in birth of new metallurgical processes J]. Journal of the iron and steel insti- tute, 1965, 203 (3):217.
  • 3邱均平,杨思洛,宋艳辉.知识交流研究现状可视化分析[J].中国图书馆学报,2012,38(2):78-89. 被引量:164
  • 4FAYYAD U. Advances in Knowledge Discovery and Data Mining [ M1. MIT Press, 1996.
  • 5GOEBEL M, GRUENWALD L. A Survey of Data Mining and Knowl- edge Discovery Software Tools [ J]. SIGKDD Explorations, 1999, 1 (1): 21 -33.
  • 6KAMBER M. Data Mining Concepts and Techniques [ M ]. San] Mateo: Morgan Kaufmann Publishers, 2001.
  • 7QUINLAN J R. Induction of decision trees [ J]. Machine Lean]ing, 1986, 1 (1) : 81 -106.
  • 8QUINLAN J R. C4. 5 : Programs for machine learning E M J. San Mateo, California: Morgan Kaufmann, 1993.
  • 9BREIMAN L. Classification and Regression Trees [ M. California: Wadsworth international group, 1984.
  • 10AGRAWAL R, IMIELINSKI T, SWAMI A Rules between, Sets of [terns Large Databases ACM, 1993.

二级参考文献29

  • 1郗晨.科学共同体的社会组织与科学知识的增长——《无形学院》述评[J].自然辩证法通讯,1987,9(5):77-78. 被引量:2
  • 2杨炳儒,宋威,徐章艳.基于内在认知机理的知识发现理论及其应用[J].自然科学进展,2006,16(1):107-115. 被引量:9
  • 3侯海燕,刘则渊,陈悦,姜春林,尹丽春,庞杰.当代国际科学学研究热点演进趋势知识图谱[J].科研管理,2006,27(3):90-96. 被引量:158
  • 4杨炳儒.数据挖掘领域的两大猜想[J].通讯和计算机(中英文版),2007,4(4):1-4. 被引量:1
  • 5姜霁.知识交流及其在认识活动中的作用[J].学术交流,1993,(4).
  • 6Chen C. CiteSpace II:Detecting and visualizing e- merging trends and transient patterns in scientific literature [J]. Journal of the American Society for Information Science and Technology, 2006, 57 (3) :359 -377.
  • 7野中郁次郎,竹内广隆.知识创造的公司:日本公司是如何创造动力学的[M].北京:科学技术部国际合作司,1999.
  • 8Schauder D. Electronic publishing of professional articles:Attitudes of academics and implications for the scholarly communication industry [ J ]. Journal of the American Society for Information Science. 1994,45(2) :73 - 100.
  • 9Rainey K T. Doctoral research in technical, scientific, and business communication, 1989-1998 [ J]. Technical Communication, 1999, 46 ( 4 ) : 501 -531.
  • 10Silven M. Origins of knowledge : learning and communication in infancy [J]. Leaming and Instruction ,2002,12 ( 3 ) :345 - 374.

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