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一种基于Web挖掘的信息自动分类系统 被引量:3

System for information categorization based on Web mining
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摘要 探讨了Web挖掘的相关理论 ,包括Web文本信息的表示及特征提取 ,关联规则分析和信息分类 .综合Web挖掘的关键技术 ,提出了一个基于Web挖掘技术的信息分类模型系统 ,使用户能够对已分类的资源进行浏览、检索 ,从而更方便。 The principles related to Web mining including the de no tation of Web information, character extracting, association rules analysis and information categorization were discussed. Using all of these key technologies, a prototype of information categorization system was presented based on Web mini ng. In this system, users can browse and retrieve the categorized information so as to obtain the required information conveniently and rapidly.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2003年第7期19-21,共3页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家高技术研究发展计划资助项目 (2 0 0 1AA14 2 170 )
关键词 WEB挖掘 文档相关性 关联规则分析 文档分类 Web mining text relevance association rul es text categorization Duan Hong Postgraduate Department of Computer. Sci. & E ng., Beijing Institute of Technology, Beijing 100080, China.
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  • 1[1]Broder,A.Z.,Glassman,S.C.,Manasse,M.S.Syntactic clustering of the Web.Technical Report,1997-015,Palo Alto,CA:Digital Systems Research Center (Digital),1997.
  • 2[2]Chang,C.H.,Hsu,C.C.Customizable multi-engine search tool with clustering.Computer Network and ISDN Systems,1997,29(8-13):1217~1224.
  • 3[3]Chen,L.,Katya,S.Webmate:a personal agent browsing and searching.In:Sycara,K.P.,Wooldridge,M.,eds.Proceedings of the 2nd International Conference on Autonomous Agents.New York:ACM Press,1998.132~139.
  • 4[4]Ron,W.,Bienvenido,V.,Mark,A.S.,et al.Hypursuit:a hierarchical network search engine that exploits content-link hypertext clustering.In:ACM,ed.Proceedings of the 7th ACM Conference on Hypertext.New York:ACM Press,1996.180~193.
  • 5[5]Ackerman,M.,Billsus,D.,Gaffney,S.,et al.Learning probabilistic user profiles.AI Magazine,1997,18(2):47~56.
  • 6[6]Cheeseman,P.,Stutz,J.Bayesian classification (autoclass):theory and results.In:Fayyad,U.M.,Piatetsky-Shapiro,G.,Smyth,P.,et al.,eds.Advances in Knowledge Discovery and Data Mining.Menlo Park,CA:AAAI/MIT Press,1996.153~180.
  • 7[7]Agrawal,R.,Srikant,R.Fast algorithm for mining association rules.In:Jorge,B.B,Matthias,J.,Carlo,Z.,eds.Proceedings of the 20th International Conference on Very Large Databases.Santiago:Morgan Kaufmann Publishers,Inc.,1994.487~499.
  • 8Belkin, N. J, R. N. Oddy and H. M. Brooks. 1982. "ASK for information retrieval." Journal of Documentation 38(2): 61-71 and 38(3):145-164.
  • 9Cooper, W. S. 1971. "A definition of relevance for information retrieval." Information Storage and Retrieval 7(1): 19-37.
  • 10Cooper, W. S. 1973. "On selecting a measure of retrieval effectiveness, part 1. The subjective philosophy of evaluation." Journal of the American Society for Information Science 24(2): 87-100.

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  • 1郑双怡.文本挖掘及其在知识管理中的应用[J].中南民族大学学报(人文社会科学版),2005,25(4):127-130. 被引量:24
  • 2余肖生,周宁,张芳芳.基于可视化数据挖掘的知识发现模型研究[J].中国图书馆学报,2006,32(5):44-46. 被引量:12
  • 3Raymond J. Mooney, Razvan Buneseu. Mining knowledge from text using information extraction [J].ACM SIGKDD Explorations Newsletter, 2005,(1):3-10.
  • 4Kodratoff Y. Knowledge Diseovery in Texts: A Definition and Applications [C]. Proc.ISMIS' 99, Warsaw, June 1999a: 16 - 29.
  • 5自然语言处理[EB/OL].http://baike.baidu.com/view/18784.htm,2009-06-13.
  • 6W. H. Inmon. Building the Data Warehouse (4th Edition) [M]. New York: John Wiley & Sons Inc,2008:43-48.
  • 7N. Uramoto, H. Matsuzawa, T. Nagano, etc. A text-mining system for knowledge discovery from biomedical documents [J]. IBM SYSTEMS JOURNAL, 2004,43(3):516-533.
  • 8Un Yong Nahm. Text Mining with Information Extraction [D].Austin:University of Texas, 2001:19-34.
  • 9Lehmann T. m. , et al. Automatic categorization of medical images for content-based retrieval and data mining. Computerized Medical Imaging and Graphics ,2005 (29)
  • 10the Medical Subject Heading. [2006-03-12]. http:/nlm.nih. gov/mesh

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