The Influence of Football on Mental Health Quality Based on Data Mining Algorithm

Data mining technology can solve the hidden rules of data when solving problems, which has great advantages. With the increasing maturity of data mining technology, its application in teaching is also more and more. This paper aims to analyze the specific impact of campus football activities on students’ mental health quality through the application of data mining algorithms, especially decision trees and association rule algorithms. On this basis, a data mining algorithm is applied to study the influence of campus football activities on students’ sports quality and mental health state. First, the present situation of campus football is expounded. First, the development status of campus football is described, and the research of data mining algorithms is summarized. This paper establishes an analysis model of the influence of campus football on students’ mental quality and uses a decision tree and association rule algorithm in a data mining algorithm to analyze students’ sports quality and mental health state. The algorithm in this article adopts the method of one-time scanning of the database, and after generating new frequent itemsets, the database continuously decreases. When the pruning severity is set to 30–60, higher accuracy can be achieved, and the pruning severity is set to 40 in the design. Subsequent operations do not require scanning again, which can occupy less space and reduce time complexity. The algorithm test shows that the design accuracy and accuracy of the algorithm have been improved, which can meet the needs. The designed analysis of students’ sports quality and mental health state based on the data mining algorithm can provide effective data for the decision-making of campus football activities.