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基于聚类策略的一种范例删除模型 被引量：5

A Model of Case-Deletion Based on Clustering
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摘要 In this paper, a new Case-Deletion strategy is proposed. This method absorbs merits o[ clustering algorithm. It overcomes the deflection of traditional deletion strategies. The experiments show that the new algorithm can reduce cases greatly and can preserve competence of CBR system. In this paper, a new Case-Deletion strategy is proposed. This method absorbs merits of clustering algorithm. It overcomes the deflection of traditional deletion strategies. The experiments show that the new algorithm can reduce cases greatly and can preserve competence of CBR system.
作者 耿焕同 钱权 蔡庆生
机构地区 中国科学技术大学计算机系
出处 《计算机科学》 CSCD 北大核心 2003年第4期143-144,149,共3页 Computer Science
基金 国家自然科学基金(No.60075015 No.90104030)
关键词 范例删除模型 聚类策略 范例推理 人工智能 知识发现 CBR,Case-deletion,Clustering
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献6

  • 1范明 孟小峰.数据挖掘概念与技术[M].北京:机械工业出版社,2001..
  • 2Schank R. Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press,Cambridge, UK, 1982.
  • 3Francis AG ,Ram A. The utility problem in case-based reasoning.In : Proc. AAAI-93 Case-Based Reasoning Workshop, 1993.
  • 4Smyth B, Keane M T. Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. IJCAI, 1995. 377 ~ 383.
  • 5Leake D B, Wilson D C. Remembering Why to Remember:Performance-Guided Case-Base Maintenance. EWCBR 2000,Springer Verlag,pp 181~172.
  • 6Minton S. Qualitative Results Concerning the Utility of Explanation-Based Learning. Artificial Intelligence, 1990,42 : 363.

共引文献63

同被引文献21

  • 1SUNDAY D M. A very fast substring search algorithm[J]. Communications of The ACM,1990,33(3) :132 - 142.
  • 2BOYER R S,MOORE J S. A fast searching algorithm[J]. Communications of the ACM 20,1977,10:762 -772.
  • 3章曙光,方瑾,钱权.基于范例推理的一种范例匹配方法模型[M]//中国人工智能进展2001.北京:北京邮电大学出版社,2004(6):635-638.
  • 4田盛丰.CBR系统中的相似性计算[C]//第三届中国人工智能联合学术会议论文集,2001.
  • 5S. Minton. Qualitative results concerning the utility of explanation-based learning[J]. Artifical Intelligence,1990(42) :363-39.
  • 6B. Smyth, M.T. Keane. Remembering to forget:A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems[C]. In: Proc. 14th International joint Conference on Artificial Intelligence, 1995:337-382.
  • 7Schank R. Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge, UK: Cambridge University Press, 1982
  • 8Juell P, Paulson P. Using Reinforcement Learning for Similarity Assessment in Case-Based Systems. IEEE Intelligent Systems, 2003, 18(4): 60-67
  • 9Watson I, Mark F. Case-Based Reasoning: A Review. The Knowledge Engineering Review, 1994, 9(4): 327-354
  • 10Zheng Quan, Wang Junpu, Wu Xiuqing, Cai Qingsheng. The Working Principle, Application and Current Study of CBR. In: Proc of the 3rd World Congress on Intelligent Control and Automation. Hefei, China, 2000, I: 242-245

引证文献5

二级引证文献2

计算机科学
2003年 第4期

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