Influencing Factors of College Students’ Sports Cognition Based on DM Technology

Author:

Pan Qingwen1ORCID

Affiliation:

1. Chengdu Industrial Vocational and Technical College, Chengdu 610000, China

Abstract

College students are the pillars of the country’s future construction, shouldering the historical mission of building the motherland and rejuvenating the nation, forming a good habit of scientific exercise during school, and laying a good physical condition for social work in the future. When their life is more closely related to sports, they will have higher and more specific requirements for the use of sports. In college students’ sports cognition, the main influencing factors are to improve athletes’ competitive level. The most direct and effective way is to strengthen training. China’s DM technology is the concentrated expression of multidisciplinary knowledge, and the scope of technology is also relatively wide. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. This article studies the influencing factors of college students’ sports cognition based on data mining (DM) technology. What is more related to China’s DM technology is the unique regularization of the influencing factors of college students’ sports cognition. To a large extent, this trend is the data standard of China’s sports industry. It can be seen that China’s DM industry also has the characteristics of diversification. According to the characteristics of China’s DM technology, the current advanced expenses are enough to supplement the related technical weaknesses, and further technical strengthening can be carried out on this basis so that China’s DM technology will gradually develop towards specialization.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference23 articles.

1. Outlier DM model for sports data analysis;Z. Yin;Journal of Intelligent and Fuzzy Systems,2020

2. Data Mining in Sports: A Systematic Review

3. Online Data Migration Model and ID3 Algorithm in Sports Competition Action Data Mining Application

4. Sports decision-making model based on DM and neural network;C. Yuan;Neural Computing & Applications,2020

5. A retrospective review of baseline balance scores in college athletes

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