Research on Sports Data Mining and Sports Training Decision Support System Based on Big Data Technology

In order to realize the rapid mining of sports data and intelligently formulate the sports training scheme that matches the athletes’ sports state, this paper studies the sports data mining and sports training decision support system based on big data technology. Leveraging MapReduce and OLAP, the system efficiently mines sports data and applies an improved Apriori algorithm to extract frequent itemsets tailored to athletes’ current states. These itemsets directly inform personalized training schemes, enhancing decision support for athletes. Experiments confirm the system’s scalability and precision in large-scale sports databases, effectively matching athletes’ training needs.