Some methods for dividing continuous attributes inKDD (knowledgediscoveryindatabase) 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。
2
Fuzzy cluster is one of the branches of knowledgediscoveryindatabase (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。
3
Both online analytical processing (OLAP) and knowledgediscoveryindatabase (KDD) are advanced modes of information resources exploitation.