Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.
粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。
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。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Some methods and functions are classified and some applications on economics, milit ary and social lives are listed. Lastly, some tools of KDD system are introduced.
文中还对数据挖掘的方法和功能进行了初步的分类并列举了KDD在国民经济、军事及社会生活等方面的应用。
KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can't apply efficiently.
KDD和数据挖掘技术在农业中得到应用，由于农业领域本身的特点，通常的数据挖掘技术得不到有效应用。
KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can't apply efficiently.
KDD和数据挖掘技术在农业中得到应用，由于农业领域本身的特点，通常的数据挖掘技术得不到有效应用。
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