In this paper, the generation of maximally generalized rules in the course of classification knowledge discovery based on rough sets theory is discussed.
讨论了基于粗糙集理论的分类知识发现中最大泛化规则的生成。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
The study of this text emphasizes on the application of knowledge discovery in the classification of textual records on the customer service in the communication industry.
本文的研究着重于知识发现在通信行业客户服务文本记录分类这一问题的应用上。
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