计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2009年
22期
5214-5217
,共4页
聚类分析%关联分析%K-Means算法%FP-Growth算法%频繁项集
聚類分析%關聯分析%K-Means算法%FP-Growth算法%頻繁項集
취류분석%관련분석%K-Means산법%FP-Growth산법%빈번항집
cluster analysis%association analysis%k-means%FP-Growth%frequent itemset
从数据集中挖掘数据间的相互关系及其关联规则是数据挖掘研究领域的核心内容之一,为了挖掘实体表现出的数据特征与实体具备因素间的关系,提出了一种挖掘方法.先采用聚类分析的方法对实体的数据进行了聚类,再通过关联分析的方法分析聚类簇中实体的因素,继而得出实体具备的因素与实体数据间的相互影响及其关联规则.通过该方法分析了学生具有的因素对学生学习成绩的影响,分析结果表明了方法的可行性.
從數據集中挖掘數據間的相互關繫及其關聯規則是數據挖掘研究領域的覈心內容之一,為瞭挖掘實體錶現齣的數據特徵與實體具備因素間的關繫,提齣瞭一種挖掘方法.先採用聚類分析的方法對實體的數據進行瞭聚類,再通過關聯分析的方法分析聚類簇中實體的因素,繼而得齣實體具備的因素與實體數據間的相互影響及其關聯規則.通過該方法分析瞭學生具有的因素對學生學習成績的影響,分析結果錶明瞭方法的可行性.
종수거집중알굴수거간적상호관계급기관련규칙시수거알굴연구영역적핵심내용지일,위료알굴실체표현출적수거특정여실체구비인소간적관계,제출료일충알굴방법.선채용취류분석적방법대실체적수거진행료취류,재통과관련분석적방법분석취류족중실체적인소,계이득출실체구비적인소여실체수거간적상호영향급기관련규칙.통과해방법분석료학생구유적인소대학생학습성적적영향,분석결과표명료방법적가행성.
It is one of the core content of data mining research field which mining the correlation and association rules between data stored in database. To mining the relation between entity' s behaved data and entity' s possessed factor, a mining method is presented. Firstly, clustering analysis is used to classify entity by entity' s behaved data, then association rules is used to analysis entity' s possessed factor which belongs to the same cluster, and then the interrelationship between factor and behaved data is gotten. By use this method to analysis the affect of student's factors on student's study score, the validity of the presented method is demonstrated, the method and the conclusion can promote in other related fields.
