Some methods for dividing continuous attributes in KDD (knowledge discovery in database) and a method based on VDM (value difference metric) are presented.

介绍了在数据库知识发现(KDD)中将连续属性离散化的一些方法，并提出使用值差分度量离散化的算法。

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Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.

模糊聚类是目前知识发现(KDD)领域中的研究分支之一，而神经网络是用于聚类的良好工具。

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Both online analytical processing (OLAP) and knowledge discovery in database (KDD) are advanced modes of information resources exploitation.

数据的在线分析与知识发现是开发信息资源的高级形式。

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