关联规则发现是数据库中知识发现研究中的热点课题，有着广泛的应用领域。
Discovery of association rules is a very hot topic in data mining research, which has been found applicable and useful in many areas.
数据采掘是数据库中知识发现的核心，详细描述了数据采掘中概念树方法在模糊性问题中的应用。
Data mining is the core of knowledge discovery in databases. Concept tree method is one of the most important methods. In this paper, presentation of an approach to deal with fuzziness was discussed.
根据模糊数据库的理论研究及实际开发状况，对犯罪模糊数据库中知识发现的几个问题进行了探讨。
Based on theory researches and practical development conditions of fuzzy database, some problems about knowledge discovery are explored in the crime fuzzy database.
数据库中知识发现是从数据中识别出有效的、新颖的、潜在有用的乃至最终可理解的模式的非平凡过程。
Knowledge discovery in database can be define as identifying the effective, original, potential and something that ultimately can be understood as the mode of out of common process.
粗糙集理论由于其独特的知识表示方法在数据预处理方面有着得天独厚的优势，同时也成为数据库中知识发现的有效手段。
Rough Sets theory has great superiority in Data Preprocessing because of its particular expression of knowledge, as well as it makes an effective means of knowledge Discovery in Database.
铜矿专家系统中知识库和规则库的保存和管理使用了数据库开发技术，采用数据挖掘作为知识发现的新手段。
The database development skills were applied to store and manage the knowledge and the rules while the knowledge founding adopted data mining technology.
铜矿专家系统中知识库和规则库的保存和管理使用了数据库开发技术，采用数据挖掘作为知识发现的新手段。
The database development skills were applied to store and manage the knowledge and the rules while the knowledge founding adopted data mining technology.
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