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。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
Data mining adopts the improved ID3 algorithm and can meet the demand of load analysis and prediction.
数据挖掘采用改进ID 3算法，能够满足负荷分析和预测方面的要求。
应用推荐