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基于知识发现的范例推理系统 被引量：3

Case-Based Reasoning System Based on Knowledge Discovery
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摘要 Nowadays the research and exploitation of the case-based system are getting more and more attention.Case-Based Reasoning (CBR) is a strategy for solving the object cases based on the source cases that are prompted bythe object ones. CBR is not only a psychological theory for human knowledge, but will be a new cornerstone of theintelligent computer system technology. The case-based system is adopted in more and more application fields in orderto obtain better results, especially in the fields with ill-defined and no expert knowledge. But there is a lot of knowl-edge required in CBR, and we are also faced with the same knowledge acquisition bottleneck as in the expert systems.Data Mining (DM) and Knowledge Discovery in Database (KDD) are just the most useful means to solve this kind ofproblem in order to make the knowledge acquisition more automated . In this paper, we discuss the data mining tech-nology in CBR, especially we raise knowledge discovery in case base (KDC) and discuss this concept in detail. Final-ly, the structure of CBR based on DM is put forward. Nowadays the research and exploitation of the case-based system are getting more and more attention. Case-Based Reasoning (CBR) is a strategy for solving the object cases based on the source cases that are prompted by the object ones. CBR is not only a psychological theory for human knowledge, but will be a new cornerstone of the intelligent computer system technology. The case-based system is adopted in more and more application fields in order to obtain better results, especially in the fields with ill-defined and no expert knowledge. But there is a lot of knowledge required in CBR, and we are also faced with the same knowledge acquisition bottleneck as in the expert systems-Data Mining (DM) and Knowledge Discovery in Database (KDD) are just the most useful means to solve this kind of problem in order to make the knowledge acquisition more automated . In this paper, we discuss the data mining technology in CBR, especially we raise knowledge discovery in case base (KDC) and discuss this concept in detail. Finally , the structure of CBR based on DM is put forward.
作者 倪志伟 蔡庆生
机构地区 安徽大学计算智能与信号处理教育部重点实验室 中国科技大学计算机科学技术系
出处 《计算机科学》 CSCD 北大核心 2003年第5期26-29,共4页 Computer Science
基金 国家自然科学基金(90104030)
关键词 范例推理系统 知识发现 人工智能 知识获取 范例库 Knowledge discovery in database , Data mining, Case base, Case-based reasoning
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献20

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计算机科学
2003年 第5期

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