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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. [ABSTRACT FROM AUTHOR]

In the present study, the way basketball fast breaks are executed was analysed, while determining how the best results sea obtained and studying the differences between the men's and women's game. Utilizing observational methodology, a total of 294 fast breaks were analysed from 30 games played at the 2008 Olympic Games in Beijing. Eighteen of the games were high-level men's games and 12 were high-level women's games. Statistically significant differences were observed between the men's and the women's game in the following aspects with regard to fast breaks: (1) duration, (2) completion area, and (3) shot opposition. For men, some dependence relationships were found between the fast break result and the following variables: duration, completion area, and opposition to its completion. For women, the results revealed a weak association between the fast break result and the opposition to its completion. [ABSTRACT FROM AUTHOR]

The purpose of the present study was to analyze the different defensive performance indicators in basketball, analyzing the difference in relation to success (efficacious or non-efficacious defenses) and the game result (win or loss). All half-court offenses (n=1045) from the quarterfinal, semifinal, consolation game, and final of the 2008 Olympics Games were analyzed. In each defense phase, the following variables were analyzed with regard to the team on defense: (1) Type of defense used, (2) Pressure in offense transition, (3) Defensive switches, (4) Helping on defense, (5) Inside passes, (6) Degree of opposition when shooting, (7) Points allowed, (8) Final result of the game, and (9) Defensive efficacy. The most significant results show that: : a) the type of defense that was most used was quarter-court man-on-man (man-on-man at 6.25m), but the one that was most efficacious was the half-court zone defense; b) transition pressure was used in 23.83% of the game phases; c) defensive switches were done in 7.85% of the game phases; d) helping on defense was used in 60% of the game phases; e) inside passes were taken in 30.9% of the game phases; 1) 38.9% of the shots were done with high opposition; and g) points were scored in 42.28% of the game phases, such that winning teams allowed the opponent to score in 38.81% of the game phases, and losing teams in 45.77%. [ABSTRACT FROM AUTHOR]