CAJ | 학술논문

利用多维关联规则方法提取心理测量不同量表属性间的关联规则，样本包括1958名大学新生。鉴于量表属性较多，且数据库庞大，传统的关联规则Apriori算法较难实现，因此基于Apriori算法设计并实现了多维关联规则的挖掘算法，并应用于心理测量量表属性的关系研究。实验表明，多维关联规则方法能够较快速且更加准确地挖掘出属性间的多维关联规则，并且这些规则在心理测量工作中能够起到指导作用，说明该方法是十分有效的。
이용다유관련규칙방법제취심리측량불동량표속성간적관련규칙，양본포괄1958명대학신생。감우량표속성교다，차수거고방대，전통적관련규칙Apriori산법교난실현，인차기우Apriori산법설계병실현료다유관련규칙적알굴산법，병응용우심리측량량표속성적관계연구。실험표명，다유관련규칙방법능구교쾌속차경가준학지알굴출속성간적다유관련규칙，병차저사규칙재심리측량공작중능구기도지도작용，설명해방법시십분유효적。
The use of multidimensional association rules to extract the psychometric properties of the scale between different association rules, the sample includes 1 958 freshmen.Given the large scale property and huge databases, traditional Apri-ori algorithm of association rules difficult to achieve, so based on Apriori algorithm design and implementation of multidi-mensional association rules mining algorithm, and study the relationship between psychometric properties of the scales ap-plied.Experimental results show that the multidimensional association rules can more quickly and more accurately excava-ted multidimensional association rules between attributes, and these rules work in psycho-metrics can play a guiding role, indicating that this method is very effective.