The case base maintenance problems in the CBR systems are solved by Data Mining techniques in this thesis.
论文通过数据挖掘技术来解决CBR系统中关于案例库维护的问题。
Then it also introduces some basic techniques of CBR such as case representation, case retrieval, case revisal, case base maintenance.
接着介绍了范例推理的基本技术，即范例表示、范例检索、CBR修正、CBR维护等。
In order to enhance the system performance and operating efficiency, a case base maintenance policy based on fuzzy rough sets theory is put forward.
从提高系统求解性能和运行效率的角度出发，提出了基于模糊粗糙集的实例库维护策略。
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