关联规则挖掘技术在体质指标分析中的应用研究

Practical Study of Association Rules Digging Technique in Physical Fitness Index Analysis

以2005年上海市国民体质监测数据库为分析对象,采用关联规则挖掘技术对体质数据进行大量的数据挖掘实验,从中发现三大类规则。并通过文献研究、专家访谈等方法,对部分规则做了解析,获得一些有价值的信息和知识。研究认为:关联规则挖掘技术应用于体质研究领域具有一定的可行性和有效性;并可以为体质数据分析和体质健康实际工作提供科学的决策依据。

Association rules adopted, this paper made a lot of data mining experiments and found three kinds of rules in the fitness database of Shanghai National Physical Fitness Survey in 2005. By literature study and expert interview, the authors further analyzed part of the rules and got some valuable information and knowledge. To conclude, the application of association rules technique in fitness study is feasible and effective, and it can benefit the work of data analysis and fitness study.