Research on Sports Data Mining and Sports Training Decision Support System Based on Big Data Technology.
Published In: International Journal of High Speed Electronics & Systems, 2025, v. 34, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: He, Ya Mei; Luo, Wei Dong 3 of 3
Abstract
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. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of High Speed Electronics & Systems. 2025/03, Vol. 34, Issue 1, p1
- Document Type:Article
- Subject Area:Sports and Leisure
- Publication Date:2025
- ISSN:0129-1564
- DOI:10.1142/S0129156425401330
- Accession Number:184145706
- Copyright Statement:Copyright of International Journal of High Speed Electronics & Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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