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关联规则数据挖掘技术在体质测试分析中的应用
引用本文:张崇林,虞丽娟,吴卫兵.关联规则数据挖掘技术在体质测试分析中的应用[J].上海体育学院学报,2012(2):42-44.
作者姓名:张崇林  虞丽娟  吴卫兵
作者单位:上海体育学院运动科学学院
基金项目:上海市科学技术委员会2010“创新行动计划”专项资助项目(10490503500)
摘    要:采用关联规则数据挖掘法,对上海市某高校教职工体质测试数据进行相关分析,建立体质总评与各单项指标关联规则数据挖掘模型。结果显示:对青年教职工体质影响较大的单项指标为最大摄氧量、舒张压、左手握力、仰卧起坐、体脂率等;对中年教职工影响较大的指标为最大摄氧量、上肢力量、躯干力量等。建议为促进高校教职工的体质健康,应优先考虑发展其心肺机能,改善上肢和躯干力量。

关 键 词:体质测试  教职工  关联规则  数据挖掘

The Application of Data Mining Technology of Association Rules in Physical Fitness Testing Analysis
ZHANG Chong-lin,YU Li-juan,WU Wei-bing.The Application of Data Mining Technology of Association Rules in Physical Fitness Testing Analysis[J].Journal of Shanghai Physical Education Institute,2012(2):42-44.
Authors:ZHANG Chong-lin  YU Li-juan  WU Wei-bing
Institution:School of Kinesiology,Shanghai University of Sport,Shanghai 200438,China
Abstract:This paper,with the method of data mining of association rules,analyzes the physical fitness testing statistics from a university in Shanghai and builds a model between comprehensive fitness evaluation and single indexes.The study proves that such indexes as V·O2max,diastolic blood pressure,grip-lift,sit-up,fat%,etc.are important factors which affect young staff while V·O2max,forelimb-power,sit-up are important to mid-aged staff.The paper proposes that university staff should give priority to the improvement of cardio-respiratory function,forelimb and trunk power.
Keywords:fitness testing  staff  association rules  data mining
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