欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
Positive periodic solutions for a nonautonomous delayed predator-prey system with diffusion and impu
期刊信息
位置：