Decision Tree and Its Key Techniques
Jun Zhang · Computer Technology and Development · 2007
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.Introduces decision tree and points out its key techniques: the choice of testing feature and tree pruning.It summarizes the main features of every algorithm by analyzing and comparing a variety of typical classifiers to provide a basis for selecting or improving the algorithms in data mining.Finally,through an instance,this paper shows the application of decision tree in production.