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作 者:吴廉卿[1] 刘丹松[2] WU Lianqin LIU Dansong(Wuhan Sports Univ. , Wuhan 430079, China College of Sports Education, Huhei Univ. , Wuhan 430062, China)
机构地区:[1]武汉体育学院运动训练学院,湖北武汉430079 [2]湖北大学体育学院,湖北武汉430062
出 处:《武汉体育学院学报》2017年第3期82-85,共4页Journal of Wuhan Sports University
摘 要:大量无价值关联组合导致用户获得大量无用信息。在传统关联规则条件中引入兴趣度量条件,以兴趣度变化来衡量规则有效性。对Apriori算法进行改进,降低时间和空间复杂度。将改进后的关联规则方法对大学生健身运动过程进行频繁项集挖掘,发现除了腰腹力量、爆发力、核心力量、有氧能力和协调性对提高运动能力有较大影响外,平衡力量和柔韧性对于提高运动能力也有重要作用。使用改进后关联规则挖掘频繁项集,可以明显反映出协调素质和柔韧素质的重要性,为今后指导大学生进行科学锻炼取得良好健身效果提供有益参考。Worthless association combinations in data mining results lead to useless data for the clients. Based on tradition al association rules, an interest measure method was introduced to measure judgment effectiveness by the change of itself. The complex rate of time and space was reduced by the improvement of Apriori algorithm_ The use of improved associa- tion rules to analyze the university students' fitness data showed that besides waist abdomen strength, power, core strength, aerobic and coordination ability, balance force and body flexibility could improve exercise performance. The im- proved Apriori algorithm reflected the importance of coordination and body flexibility, which provided reference for the fitness and wellness of university students.
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