现代电子技术2017，Vol.40Issue(9)：112-114,120,4.DOI:10.16652/j.issn.1004-373x.2017.09.030
数据挖掘技术在少年健康体育行为应用中的研究
Research on data mining technology applied to juvenile healthy sports behavior
摘要
Abstract
The big data analysis method is used to perform the statistical analysis of the juvenile healthy sports behavior, and guide the juvenile sports training and management. The data mining technology based modeling analysis method of juvenile healthy sports behavior is proposed. The fuzzy decision method is used to construct the entity model of the sports behavior characteristics. The support vector machine is combined to mine the big data information of the sports behavior,and construct the statistic decision objective function of data mining. The parameter optimization of the mining objective function is performed with particle swarm optimization method to mine the big data of the juvenile healthy sports behavior accurately,and analyze its characteristics. The simulation results show that the method to analyze the juvenile healthy sports behavior has high mining accu-racy of sports associated data mining,and high reliability of statistical analysis.关键词
数据挖掘/少年健康体育行为/统计/支持向量机/模糊决策Key words
data mining/juvenile healthy sports behavior/statistics/support vector machine/fuzzy decision分类
信息技术与安全科学引用本文复制引用
董世彪..数据挖掘技术在少年健康体育行为应用中的研究[J].现代电子技术,2017,40(9):112-114,120,4.基金项目
河南省哲学社会科学规划项目研究课题(2014BTY006) （2014BTY006）
