Data Mining of Students' Physical Exercise Based on Cloud Computing

Abstract

Physical exercise is very necessary for students, only good physical quality can better study. The mining of physical exercise data is the analysis and integration of physical exercise data. The purpose of this paper is to study the data mining technology of students' physical exercise. This paper proposes a data mining algorithm for student physical exercise based on Cloud Computing (CdC). In the traditional data mining technology, data regression and clustering are added, and the data is processed through variance and covariance, which can make the data complete the processing steps such as cleaning faster and saves a lot of data processing time. The experiments in this paper show that the algorithm proposed in this paper can analyze the physical exercise data very well. For data samples with sample sizes of 1000 and 2000, the running time is about 20 seconds lower than the original algorithm, and the resource factor of the system is stable at about 82%, which proves that the algorithm has a good load balance.