Decision Tree and Its Application in the Data Mining of Breast Disease Images
Pan Yong · Jisuanji yingyong yanjiu · 2002
Data mining is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. It can provide an useful path to acquire knowledge automatically. Decision tree classification algorithm is one of the most widely used algorithms in data mining. In this paper, ID3 decision tree constructing algorithm and two typical decision tree pruning algorithms are firstly analyzed. Then the introduced decision tree algorithms are applied to the data mining of the breast disease images and some valuable rules are obtained, greatly verifying the great potential of the decision tree algorithm to the data mining of medical images.