DESIGN OF SPORTS TRAINING REAL-TIME DATA ANALYSIS SYSTEM BASED ON RECONFIGURABLE DATA MINING TECHNOLOGY

Abstract

The teaching materials generated by the promotion of education informatization are mostly idle and neglected, and the situation that education is decided entirely by experience is out of step with the new educational environment. In China, university sports are mainly conducted through physical education (PE) classes and amateur training, which are basically in a disorganized state. Due to the highly open nature of the modern sports system, changes in the way decisions are made in this information-based society have had a profound impact on the decision-making process in the field of sports. However, current school data processing is still at a rudimentary stage of data backup, querying and simple statistics, and does not provide an effective means to help teachers make decisions about school processes. Data mining (DM) is an in-depth approach to data analysis by mining useful information from large amounts of data, and this technique is now being used in an increasing number of fields. In this paper, we present the design of a real-time data analysis system for sports training based on DM technology, and use the corresponding mining tools of DM technology to discover relevant patterns or laws hidden in the data. Therefore, using the real-time data analysis system for sports training based on DM technology, useful information and patterns for improving examination performance can be obtained, which can improve targeted teaching methods and help students overcome learning difficulties, providing rational teaching. Synchronizing courses, establishing preparation, effectively guiding students in course selection, and improving course quality and educational effectiveness.