Improved algorithm based on decision tree
Haibo Zhou · Journal of Computer Applications · 2008
Decision tree is an important method in induction learning as well as in data mining,which can be used to form classification and predictive model.ID3 algorithm is the most widely used algorithm in the decision tree,based on the Decision Tree ideas in the data mining,for the shortcoming of inclining to chose attributions which has many values,the paper has improved ID3 by introducing irrelevant degrees.Experimental Analysis of the data shows that the new algorithm can be more reasonable and more effective rules.