摘要
提出一种应用二分法查找频繁封闭项目集的算法,将维数区间对半划分,每次遍历时都计算落在前半区的项目集的支持度。该算法能有效减少数据库遍历次数,提高效率。
Designs a bisearch algorithm for searching frequent closed itemset. Itemsets are compartmentalized by dimension. The algorithm plots out the dimension interval half-and-half and the itemsets in the former are computed when passing the database. The passes of database are effectively reduced by the bisearch algorithm.
出处
《现代计算机》
2007年第7期19-21,共3页
Modern Computer
关键词
关联规则挖掘
概念格
频繁封闭项目集
算法
Association Rule Mining
Concept Lattice
Frequent Closed Itemset
, Algorithm