The Application of Improved Decision Tree Algorithm in Data Mining of Employment Rate: Evidence from China

In allusion to the limitations of ID3 algorithm which is the core algorithm of building decision tree, this paper presented the improved project which added attribute measure and introduced information gain ratio. The project trained the example set in the data mining of the students´ employment rate and created the employment data mining model. The model was tested with the data of the students in school. The test proved that the improved decision tree algorithm has high reference value to the reallocation of the teaching resources.