摘要
随着体育领域数字化进程的加速,无量纲技术在体育数据处理中的应用价值日益凸显。多维度数据归一化通过消除量纲差异,增强综合评估科学性,实现不同体育项目数据的横向可比,打破数据壁垒;同时,该技术简化复杂模型参数,优化数据挖掘效率,以标准化特征表达提升智能决策精准性,为体育训练、赛事分析提供科学依据。然而,体育数据的异质性致使归一化标准难以统一,动态数据特性带来无量纲方法适配难题,数据缺失与噪声干扰转换稳定性,算法复杂度与可解释性平衡也存在技术挑战。为此,构建领域本体模型规范数据标准化流程,融合深度学习实现动态数据自适应处理,设计混合降噪算法提升转换质量,并建立可视化评估体系验证技术应用效果。通过这些应用路径,无量纲技术能够更高效地处理体育数据,推动体育数据科学发展,助力体育产业实现数据驱动的精准化运营与智能化决策。
The accelerating digitalization in the field of sports has amplified the application value of Dimensionless Normalization Techniques in sports data prcessing.By eliminating unit differences,multi-dimensional data normalization enhances the scienific rgor of comprchensive evaluations,enables the horizontal comparability of data across different sports events,and effectively breaks down data barriers.Concurrenly,this approach streamlines complex model parameters,optimizes data mining efficiency,and improves the accuracy of intelligent decision-making through standardized feature representations,thereby providing scientific foundations for athletic training and competition analysis.Nevertheless,the heterogeneity of sports data poses challenges for establishing unified normalization standards,while dynamic nature of data complicates Dimensionless method adaptation.Additionally,issues such as data sparsity,noise interference affecting transformation stability,and the trade-off between algorithmic complexity and interpretability present further technical hurdles.To address these challenges,this study proposes the following pathways:constructing domain-specific ontology models to standardize data processing workflows;integrating deep learning techniques for adaptive processing of dynamic data;designing hybrid denoising algorithms to enhance transformation quality;and establishing visual analyties framewornks to validate technical application efficacy.Through these approaches,dimensionless technology can process sports data more efficiently,promote the advancement of Sports Data Science,and empower the sports industry to achieve data-driven precision operations and intelligent decision-making.
作者
高岩
原有志
Gao Yan;Yuan Youzhi(College of Sports and Health Technology,Jilin Sports University,Changchun 130022,China)
出处
《体育科技文献通报》
2025年第12期240-243,共4页
Bulletin of Sport Science & Technology
关键词
无量纲技术
体育学科
数据处理
Dimensionless Normalization Techniques
Sports Discipline
Data Processing
