A New Algorithm for Incremental Induction of Decision Tree
Liu Yun-sheng · Microprocessors · 2008
Incremental learning is an effective method for learning the classification knowledge from massive data,especially in the situation of high cost in getting labeled training examples.According to the characteristic and essence of incremental learning,this paper gives a new incremental decision tree classification algorithm which combined Bayesian method and decision tree.The design and test of the algorithm was introduced too.The experimental result shows that this classification model retains the good interpretability of decision tree and has the ability of incremental learning.