语义驱动的关联规则挖掘算法研究

被引:2
作者
王志愿
夏士雄
张磊
周川祥
机构
[1] 中国矿业大学计算机科学与技术学院
基金
高等学校博士学科点专项科研基金;
关键词
关联规则; 语义本体; 语义相关度; 动态最小支持度; DS-Apriori;
D O I
10.16208/j.issn1000-7024.2011.03.029
中图分类号
TP311.13 [];
学科分类号
1201 ;
摘要
为了使传统的关联规则挖掘算法在结合到具体领域时具有更强的适应性,提出了DS-Apriori算法。该算法建立在语义本体的基础上,根据项集内部的语义相关度动态的确定该项集的最小支持度,并采用了项集语义相关度的增量计算方法。实验结果表明,DS-Apriori算法在很大程度上提高了关联规则挖掘算法的效率和效果。
引用
收藏
页码:936 / 939+944 +944
页数:5
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