Application of Data Mining Decision Tree Algorithm in Teaching Evaluation System

Data mining plays an extremely important role in the current scientific research. Analyze and extract information from the data to guide people's life, work and study. Decision tree algorithm is an important analysis method of data mining. It can predict the trend change relationship of individual cases from one or more prediction variables according to the options of category dependent variables. In this paper, the decision tree algorithm is used to analyze some problems in computer teaching in campus information construction, in which the students' College, teachers' educational background, teachers' professional title, teachers' teaching age and average score are selected as the set of optional attributes. In practical application, it is transformed into the basis for decision tree algorithm, and its teaching evaluation is carried out through the algorithm, so as to guide teaching analysis and provide more feasible suggestions for public computer course teaching management. This not only has theoretical value, but also has practical significance for the digital construction in the field of education. Some of the laws and rules found after the introduction of data mining technology in the analysis of College Students' grades, some of which had a superficial consciousness, but there was no specific theoretical proof. Now they have been fully proved by theory. Therefore, the analysis and research based on database and data mining in guiding teaching management can help us find the laws and influencing factors of managing students and other aspects.