摘要
根据旅游数据的特殊性,提出了多维数量关联规则聚类算法(MDQARC),并从挖掘库的生成、数值属性的离散化以及关联规则挖掘和规则聚类等方面设计了有效的算法,最后通过实验将MDQARC算法与C4.5算法进行了比较,证明了该算法可以提高运行效率。
According to the particularity of tourism data,the multidimensional clustering algorithm of association rules is proposed（MDQARC）.And design effective algorithms for the mining library generating,discretization of numerical attributes,rules of association mining and clustering and other aspects.Finally MDQARC algorithm and C4.5 algorithm are compared through experiments,show that the algorithm can improve operational efficiency.
出处
《煤炭技术》
CAS
北大核心
2011年第6期184-185,共2页
Coal Technology
关键词
数据挖掘
数量关联规则
算法
data ming
quantitative association rule
algorithm
