数值属性关联规则的挖掘算法

摘要

This paper introduces how to dig the ways of multi-attribute data correlation rule, improves FPL algorithm. When the data base is scaned only once, all frequency item sets are found, and the minimum support changes,FPL does not reconstruct,it is found fast.%文中研究一种如何有效挖掘含有未知数值属性的多属性数据关联规则方法.对FPL算法进行了改进,扫描一次数据库,就可以找出所有频繁项集,且当最小支持度变动时,不需重新构建FPL,能快速找出所有频繁项集.