粒关联规则的属性挖掘算法及有关标记方法  

The attribute mine algorithm for granular association rule and the way of signing

作　　者：邱京伟[1] 

机构地区：[1]宁德师范学院计算机系,福建宁德352100

出　　处：《宁德师范学院学报（自然科学版）》2013年第4期373-375,共3页Journal of Ningde Normal University(Natural Science)

摘　　要：粒关联规则挖掘是一种关系数据挖掘的新方法,用于在多对多关系表中挖掘关联规则.在挖掘关联规则的时候,利用信息表中属性所存在的包含和被包含关系可以有效减少比较次数,从而有效减少时间消耗,而不影响规律挖掘结果.Granular association rule mining is one of the new relation data mining methods, and is used to find the association rules in a many-to-many entity-relationship system table. In the mining of association rules, the use of the including and included relationships of the attributes in the table of information can reduce the frequency of comparison, thus effectively reduces the time without the affecting the mining results.

关 键 词：粒关联规则 数据挖掘 属性 数据标记 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]