Design And Implementation Of College Students' Physical Fitness Analysis System Based On Data Mining Technology

With the overall construction of quality education,the construction of physical education is gradually concerned and supported by governments at all levels,party committees,college organizations and society.Physical education is an important part of college education.The physical education courses and periodic physical tests are conducted in major colleges and universities accordance with national standards.However,the physical education courses offered in colleges and universities are unitary,and the evaluation standards of the courses are not uniform.Meanwhile,the physical education management system focuses on information collection,collation and statistical functions,which leads to low timeliness and poor guiding significance.These problems make it difficult for students to correctly measure their physical health,and it is difficult to guide students scientifically through complex data because of the heavy task of teachers.This article takes college physical examination data as an example to try to design and implement a college physical fitness analysis system with more timeliness and readability.And the association information hidden in the data is mined through data mining technology to help teachers provide more scientific and effective guidance and suggestions for students.This article took the physical fitness test data and self-assessment data of 2019 freshmen of a vocational and technical college in Inner Mongolia as the research objects.Through data statistics,five basic indicators were obtained according to the performance evaluation standards in the "National Physical Training Standard",including cardiopulmonary function,muscle strength,muscle endurance,softness,and obesity.The decision tree C4.5 algorithm was used to construct a decision tree model for students whose cardiopulmonary function failed,and the association rule Apriori algorithm was used to mine the correlation of the five indicators of physical fitness.Based on this,the hidden regularities between the physical fitness and behavior habits of students can be determined,and the relevant information of various physical fitness indicators can be obtained.Finally,the designed system realized the function of students' physical fitness evaluation,analyzed and processed the evaluation data combined with the physical fitness test data,and displayed the analysis results.The data information processed by the physical fitness analysis system is more readable and time-sensitive,and it is easier for students to understand the true state of their physical fitness.According to the results of data mining,the teachers can give more relevant guidance and suggestions for each student's physical characteristics.