Snow sports have gained popularity among the general public as a result of China's economy's recent steady growth and the Chinese people's continuously rising level of life. The issue of cultural development as it relates to the growth of snow sports is receiving more and more attention from society. The development of the individual cultural qualities of the athletes and the growth of sports culture can only be better encouraged by making sure that the cultural quality of the sports team can be improved in all areas. Only then would the snow sports be able to flourish. It is of great and far-reaching significance to maintain the leading position of China's snow sports in the world and to develop the healthy and sustainable development of China's sports. It is also of great significance to promote social stability and the construction of spiritual civilization as well as enhance the construction of a socialist harmonious society. This paper proposed to use the association rules in mobile big data to mine the relationship between sports culture and snow sports. This method is not only simple in operation but also more efficient. The experimental results of this paper have shown that the operating efficiency of the classic Apriori algorithm is about 50%, while the operating efficiency of the improved Apriori algorithm is about 90%. Therefore, in the comparison of operating efficiency, the improved Apriori algorithm is more advantageous by only 7%, indicating that the improved Apriori algorithm saves a lot of memory. After analyzing the relationship between sports culture and snow sports through Apriori algorithm, it is found that the relationship between the two is complementary and proportional.

Chuntao Han. Relationship between Ice and Snow Sports Culture and Ice and Snow Sports Based on Mobile Big Data. International Journal of Sports Technology (2023), Vol. 4, Issue 1: 1-15. https://doi.org/10.38007/IJST.2023.040101.

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