Abstract
In my country, college students’ physical exercise is mainly through physical exercise and amateur sports, which is basically in a state of disorder. Based on the improved association rules, this paper introduces the auxiliary decision support system for college students’ sports training. First, we introduced a network security method and designed a sports training decision support system based on network security. Secondly, based on the Apriori algorithm, we have realized the organic integration of all aspects of college students’ sports, applied scientific training theories and advanced training methods to the management of college students’ sports training, and generated new knowledge rules through data mining technology, enriching knowledge. Finally, according to user input, select the corresponding model and combine with the rules in the knowledge base to generate a reasonable exercise training plan. After model simulation and example verification, the sports training decision support system based on the improved association rule prior algorithm designed in this paper has good applicability and efficiency.
Highlights
Sports is a comprehensive and very strong subject, which includes sports human science, sports humanities, and social sciences and so on [1, 2]. e research field of sports application decision support system is limited to sports training, sports evaluation, sports management, and other fields
With the rapid development of computer technology and in-depth application in various aspects, especially the development of artificial intelligence and data mining technology, to achieve the organic integration of different aspects of college students, the science training theory, advanced training method applied to college sports training management has become a possibility, and the application of data mining in the assistant decision support system of College Students’ sports training is feasible in theory [6, 7]
In the 90s, the international community training hall began to study the application of data mining technology to construct a personalized information recommendation system [18]
Summary
Sports is a comprehensive and very strong subject, which includes sports human science, sports humanities, and social sciences and so on [1, 2]. e research field of sports application decision support system is limited to sports training, sports evaluation, sports management, and other fields. E research field of sports application decision support system is limited to sports training, sports evaluation, sports management, and other fields. E research shows that, in recent years, scholars of material movement field of intelligent management system, the national fitness information analysis, and decision support system are studied, which shows that more and more scholars have been aware of the strong support of all DSS functions, and applied to the sports field [4, 5]. Foreign data mining technology has become more and more mature, and its application in the training hall has been well studied [9]. We combine network security with sports training decision support system for program design [11]
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