期刊文献+

基于概念格的聚类分析 被引量:2

Clustering Analysis Based on Concept Lattice
下载PDF
导出
摘要 针对如何快速有效地在信息管理系统中建立基于概念格模型的聚类分析进行研究,提出在数据库中保存格节点的概念格物理模型、最小基数格模型和最小基数格节点的生成方法,并用以解决产品间的快速比较、相近产品替代等问题. This paper studies clustering analysis based on concept lattice in an information management system. We present a physical model of concept lattice for database, a minimum concept lattice model, and an algorithm for creating a minimum concept lattice. The method is implemented in an information management system.
出处 《上海大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第4期432-435,440,共5页 Journal of Shanghai University:Natural Science Edition
基金 上海市重点学科建设资助项目(J50103) 国家特种信息产品动员中心资助项目(SNMCFIP/2006)
关键词 概念格 聚类分析 信息管理系统 concept lattice clustering analysis information management system
  • 相关文献

参考文献9

  • 1SAHAMI M. Learning classification rules using lattices [ C ] //Proceedings of the Eighth European Conference on Machine Learning. Berlin: Spfinger-Verlag, 1.995 : 343- 346. 被引量:1
  • 2NJIWOUA P, MEPHU N E. Back from experimentation: a study on learning bias in LEGAL-E [ C] // Proceedings of BENELEARN-96. Belgium: University of Limburg, 1996:57-68. 被引量:1
  • 3HOT B, Incremental conceptual clustering in the framework of Galois lattice [ M] // LU H, MOTODA H, IJU H, eds. KDD: Techniques and Applications. Singapore : World Scientific, 1997:49-64. 被引量:1
  • 4谢志鹏,刘宗田.概念格的快速渐进式构造算法[J].计算机学报,2002,25(5):490-496. 被引量:120
  • 5赵文兵..基于概念格及其扩展模型的数据挖掘研究[D].合肥工业大学,2002:
  • 6NG R T, HAN J. Efficient and effective cluster method ior spatial data mining [ C ]//Proceedings of the 20th International Conference of Very Large Data Bases, San Francisco : Morgan Kaufman Publisher, 1994 : 144-155. 被引量:1
  • 7YAN W, LARSON P. Eager aggregation and lazy aggregation [ C ] // Proceedings of the 21 st International Conference of Very Large Data Bases. Los Atos: Morgan Kaufman Publisher, 1995 : 345-357. 被引量:1
  • 8GUHA S, RASTOGI R, SHIM K. CURE: an efficient clustering algorithm for large databases [ C ]// Proceedings of ACM SIG-MOD International Conference on Management of Data, Seattle, Washington, USA. 1998: 73-84. 被引量:1
  • 9杨丽..基于动态多值背景的概念格及其约简方法的研究[D].西南交通大学,2006:

二级参考文献11

  • 1Carpineto C, Romano G. Information retrieval through hybrid navigation of lattice representations. International Journal of Human-Computer Studies, 1996, 45: 553-578 被引量:1
  • 2Carpineto C, Romano G. A lattice conceptual clustering system and its application to browsing retrieval. Machine Learning, 1996, 24(2):95-122 被引量:1
  • 3Godin R, Mineau G W, Missaoui R. Incremental structuring of knowledge bases. In: Proc International Symposium on Knowledge Retrieval, Use, and Storage for Efficiency(KRUSE'95), Santa Cruz, 1995. 179-193 被引量:1
  • 4Godin R, Missaoui R, Alaoui H. Incremental concept formation algorithms based on Galois (concept) lattices. Computational Intelligence, 1995, 11(2):246-267 被引量:1
  • 5Godin R, Mili H, Mineau G W et al. Design of class hierarchies based on concept (Galois) lattices. Theory and Application of Object Systems, 1998, 4(2):117-134 被引量:1
  • 6Nourine L, Raynaud O. A fast algorithm for building lattices. Information Processing Letters, 1999, 71(5-6):199-204 被引量:1
  • 7Snelting G, Tip T. Reengineering class hierarchies using concept analysis. In: Proc ACM SIGSOFT Symposium on the Foundations of Software Engineering, Lake Buena Vista, Frorida, USA, 1998. 99-110 被引量:1
  • 8Wille R. Restructuring lattice theory: An approach based on hierarchies of concepts. In: Rival I eds. Ordered Sets, Dordrecht: Reidel, 1982. 445-470 被引量:1
  • 9Xie Z, Liu Z. Research on classifier based on lattice structure. In: Proc Conference on Intelligent Information Processing, 16th World Computer Congress, Beijing, China, 2000. 333-338 被引量:1
  • 10Bordat J P. Calcul pratique du treillis de galois d'une correspondance. Mathematiques et Sciences, 1986, 24eme année, 96:31-47 被引量:1

共引文献119

同被引文献16

引证文献2

二级引证文献2

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