节点文献
基于频繁项集的一种关联规则改进方法
An Improved Mining Method for Association Rules Based on Frequent-item Set
【摘要】 关联规则是数据挖掘的一种常用方法。本文以Apriori算法中频繁项集的概念为基础,在加入了元向量、子规则、父规则等概念后,提出一种关联规则挖掘的改进方法(Improve算法)。该方法克服了传统关联规则挖掘方法的不足,在产生频繁项集的同时进行规则挖掘,从而提高了挖掘效率。
【Abstract】 Association rules are a common method of data mining.This passage is based on the concept of frequent-item set in Apriori algorithm.After adding the concepts of meta-vector,sub rule,parent rule,we consider an improved mining method of association rules—Improve algorithm.This method conquers the disadvantage of traditional association rules mining methods,mining rules while mining frequent-item set,so the mining efficiency is greatly enhanced.
【关键词】 关联规则;
元向量;
子规则;
Improve算法;
【Key words】 association rules; meta-vector; sub rule; Improve algorithm;
【Key words】 association rules; meta-vector; sub rule; Improve algorithm;
- 【文献出处】 计算机与现代化 ,Computer and Modernization , 编辑部邮箱 ,2006年07期
- 【分类号】TP311.13
- 【被引频次】5
- 【下载频次】64