Case-Based Reasoning System Based on Knowledge Discovery
Ni Zhi · 2003
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.