Building Sports Decision Support System based on Big Data Algorithms and Analysis Techniques

Decision-making, as a discipline, is a comprehensive science spanning across cognitive science, social science, and natural science. It involves various aspects of people's daily life, economy, politics, and society. The goal of decision support systems is to provide assistance in completing tasks. Currently, in schools, sports activities mainly focus on amateur exercise and classroom learning, and are in a disordered state. Therefore, based on big data algorithms and analysis techniques, this paper fully mines the internal correlations and information of sports teaching information, designs a sports decision support system, constructs the overall structural model of the sports decision support system, analyzes the technical indicators and modular architecture of the system, develops software in the embedded Linux kernel structure, and utilizes VIX bus technology to collect sports data. The sports decision support system's benefits are vast, as it provides a structured approach to sports teaching that can assist coaches and athletes in making informed decisions. The system can be used to analyze athletes' performance, monitor their progress, and identify areas that need improvement. Additionally, coaches can use the system to develop training plans and strategies that are tailored to the athletes' needs. Through simulation experiments, it was found that this system has high accuracy and reliability.