The Application of Multi-Source Big Data Mining Techniques in the Analysis of Basketball Economic Management

Abstract

In recent years, China has been paying more and more attention to the development of the sports industry, and many sports are no longer seen as a mere sport, but can be developed into an industry and play an important role in the development of the economy. This paper examines the application of multi-source big data mining techniques in the analysis of basketball economic management. Firstly, through multi-source big data mining technology, we collect various factors that influence the development of basketball economic industrialization, use Hash Tree-based Apriori algorithm to mine various influencing factors for basketball economic industrialization, and analyze the correlation between each influencing factor. The association rule mining results are then used to analyze the relationship between the key influencing factors and the industrialization of the basketball economy. This paper examines various aspects of the Chinese basketball league market, including the management system, market operations, and talent flow, and compares them with the foreign basketball industry models, in order to analyze the operation of China’s basketball industrialization and develop corresponding countermeasures to improve basketball economic management based on the results of the study.

Analysis of Application and Creation Skills of Story-Based MV Micro Video and Big Multimedia Data in Music Communication

“…It is against this background that micro videos are produced. Some people think that the emergence of online micro videos has brought extra vigor to low-budget films and injected vitality into the development of the film market (Liang, 2022). As a new type of short film with low cost, short production time, and rapid dissemination, the development of micro video also benefits from the boost of the current online video dissemination platforms (Pistola et al, 2021).…”