聚类分析作为数据挖掘的一类功能，是本论文研究的主要内容。
Cluster analysis, as a module and function of data mining, is the main content of this paper.
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。
The case base maintenance problems in the CBR systems are solved by Data Mining techniques in this thesis.
本论文主要讲述数据挖掘中采用粗糙集方法实现数据预处理中冗余属性约简的问题。
This paper mainly discusses topics on solving attribute reduction problems by applying rough set methods in the field of scientific data mining.
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