增量决策树知识获取

Incremental Decision Tree Knowledge Acquisition

决策树算法已经在人工智能领域发挥了巨大的作用,但是传统的ID3算法并不能满足增量学习的要求,增量决策树算法已经成为了当前的研究热点。该文引入了属性值类别计数器的概念,然后重点介绍了ID4算法和ID5R算法,并在最后加以比较。

The decision tree algorithm has already played an enormous role in the field of artificial intelligence.but traditional ID3 algorithm can not meet the demand for incremental study, the decision tree algorithm of incremental has already become the present research focus.This text introduced the concept of the classification counter of attribute value, then introduced ID4 algorithm and ID5R algorithm especially, and compare at the end.