Data Mining Method Based on Mobile Network Communication in Volleyball Training

Abstract

In recent years, volleyball has developed rapidly, and the requirements of athletes’ physical fitness have been continuously improved. The way to improve physical fitness is physical training. Therefore, how to improve sports performance and physical fitness level has become a problem that needs to be solved in current volleyball training. This paper adopts the methods of literature materials, expert interviews, testing methods, experimental methods, mathematical statistics, and logical analysis methods and conducts experiments on the actual situation of college volleyball students by using mobile network communication data mining. Comparing the test and experimental data, it was found that the test groups had significant differences in the test scores of agility, jumping ability, lower arm explosive power, upper body power, abdominal strength, back strength, and coordination. The sample T test was performed on the improvement of the experimental group and the control group (boys) in the 30 m running and 9 m × 10 movement test scores, and P3 = 0.442 and P9 = 0.338 ( $P>0.05$ ) were obtained, respectively. The posttest score was 0.064 higher than the pretest score.