Design and Application of Sports Management Decision Support System based on B/S Model

Due to complex data and changing environments, sports managers face many challenges when making decisions. In order to provide scientific and accurate decision-making support, a sports management decision-making support system based on the B/S model came into being. This research adopts the method and process of system design to develop the system, and uses data analysis and mining techniques to conduct in-depth analysis of the data, including statistical analysis, data modeling, and machine learning methods, to identify patterns, trends, and relevance in the data, and design and implement specific decision-making models and algorithms, based on historical data and domain knowledge, used to predict competition results, evaluate athlete status, and formulate training plans. After experimental testing, the response time range of the system is 0.4-1s. It provides sports managers with powerful tools and resources to improve the efficiency and accuracy of decision-making.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icdacai65086.2024.00007
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
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article

Design and Application of Sports Management Decision Support System based on B/S Model

Qinjian Zhang
Diverse Approaches in Healthcare and Education Studies
article

Design and Application of Sports Management Decision Support System based on B/S Model

Qinjian Zhang
article en

Abstract

Due to complex data and changing environments, sports managers face many challenges when making decisions. In order to provide scientific and accurate decision-making support, a sports management decision-making support system based on the B/S model came into being. This research adopts the method and process of system design to develop the system, and uses data analysis and mining techniques to conduct in-depth analysis of the data, including statistical analysis, data modeling, and machine learning methods, to identify patterns, trends, and relevance in the data, and design and implement specific decision-making models and algorithms, based on historical data and domain knowledge, used to predict competition results, evaluate athlete status, and formulate training plans. After experimental testing, the response time range of the system is 0.4-1s. It provides sports managers with powerful tools and resources to improve the efficiency and accuracy of decision-making.

Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 61%
Diverse Approaches in Healthcare and Education Studies
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