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。
The algorithm of ID3 usually leans to select attributes which value much more, and can't handle continuous data, and is sensitivity to the noise.
ID 3算法往往偏向于取值较多的属性，不能处理连续数据，对噪声也较为敏感。
The algorithm of ID3 usually leans to select attributes which value much more, and can't handle continuous data, and is sensitivity to the noise.
ID 3算法往往偏向于取值较多的属性，不能处理连续数据，对噪声也较为敏感。
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