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[1]李建洋,倪志伟,郑金彬,等.案例知识库维护技术的研究进展[J].武汉工程大学学报,2010,(03):96-99.
　LI Jian yang,NI Zhi wei,ZHENG Jin bin,et al.Some advances in maintenance research of case knowledge base[J].Journal of Wuhan Institute of Technology,2010,(03):96-99.
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案例知识库维护技术的研究进展(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2010年03期
页码:
96-99
栏目:
机电与信息工程
出版日期:
2010-03-31

文章信息/Info

Title:
Some advances in maintenance research of case knowledge base
文章编号:
16742869(2010)03009604
作者:
李建洋1; 倪志伟1; 郑金彬2; 谢秀珍2
1.合肥工业大学计算机网络所，安徽 合肥 230009；2.龙岩学院计算机科学系，福建 龙岩 364000
Author(s):
LI Jianyang1;  NI Zhiwei1;  ZHENG Jinbin2; XIE Xiuzhen2
(1. Institute of Computer Network, Hefei University of Technology, Hefei 230009, China;
2. Department of Computer Science, Longyan University, Longyan 364000,China
关键词:
案例库维护; 不确定删除法; 选择删除法; 粒度计算
Keywords:
CBM;  indefinite deletion;  selective deletion;  granular computing
分类号:
TP39;TP181
DOI:
-
文献标志码:
A
摘要:
案例库是CBR系统的主要知识库，但是难以维护，一个主要因素是案例库大，并且是非结构化或半结构化的，用自然语言来表达的.文章针对案例知识库维护中出现的相关复杂问题，分析了各种维护策略的可行性，提出了在不同环境下实施维护的准则，指出了选用合适的方法来实现案例库维护.
Abstract:
With the dramatic proliferation of CaseBased Reasoning (CBR) systems in commercial applications, CBR has grown from a quite new area to a subject of major influence within Artificial Intelligence. Case bases are main knowledge sources in CBR systems, but they are difficult to maintain. One of the contributing factors is that these case bases are often large and yet unstructured or semistructured: they are represented in natural language text. Tackling the following problems related to the complexity of case base maintenance (CBM), the paper presents many kinds of strategies to achieve CBM and puts forward some criteria for this course, it suggests choosing the most suitable method for CBM based on its feasibility, which are under description in the face of different conditions.

参考文献/References:

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备注/Memo:
收稿日期：20091125基金项目：863专项课题(2007AA04Z116);国家自然基金(70871033);福建省科技专项课题(2008F5043);安徽省高校自然基金(KJ2008B107)；福建省教育科研基金(JA08229)作者简介：李建洋(1968)，男，安徽合肥人，教授，博士，研究方向:机器学习、神经网络、智能系统.倪志伟(1963)，男，安徽桐城，教授，博导，研究方向为机器学习、数据挖掘、智能决策支持系统；郑金彬(1975)，男，福建龙岩，副教授，硕士，研究方向为机器学习、信息安全、计算机算法.
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