关联规则数据挖掘技术在体质测试分析中的应用

The Application of Data Mining Technology of Association Rules in Physical Fitness Testing Analysis

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。

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 VOzmax, diastolic blood pressure, grip-lift, sit-up, fat%, etc. are important factors which affect young staff while XzO2 max, 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.