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

Mathematical problems in engineering, 2022-06, Vol.2022, p.1-10 [Peer Reviewed Journal]

Copyright © 2022 Hui Liang. ;COPYRIGHT 2022 Hindawi Limited ;Copyright © 2022 Hui Liang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2022/5362900

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  • Title:
    The Application of Multi-Source Big Data Mining Techniques in the Analysis of Basketball Economic Management
  • Author: Liang, Hui
  • Yang, Zaoli ; Zaoli Yang
  • Subjects: Algorithms ; Associations ; Basketball ; Big Data ; Boards of directors ; China ; Clubs ; Confidence ; Data mining ; Economic analysis ; Economic development ; Economic theory ; Industrial development ; Management ; Market economies ; Professional basketball ; Professional sports ; Sports ; Stadiums ; Technology application
  • Is Part Of: Mathematical problems in engineering, 2022-06, Vol.2022, p.1-10
  • Description: 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.
  • Publisher: New York: Hindawi
  • Language: English
  • Identifier: ISSN: 1024-123X
    EISSN: 1563-5147
    DOI: 10.1155/2022/5362900
  • Source: AUTh Library subscriptions: ProQuest Central
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