International Journal of Computer Applications
In data mining, decision trees are considered to be most popular approach for classifying different attributes. The issue of growing of decision tree from available data is considered in various discipline like pattern recognition, machine learning and data mining. This paper presents an updated survey of growing of decision tree in two phases following a top down approach. This paper presents a framework for dealing with the condition of uncertainty during decision tree induction process and concludes with comparison of Averaging based approach and Uncertain Decision Tree approach.