数量关联规则挖掘及其典型算法分析  

Analysis on Quantitative Association Rules Mining and Several Typical Algorithms

作　　者：张春华[1] 徐卫[1] 张伟[2] 

机构地区：[1]空军航空大学计算机教研室,长春130022 [2]空军航空大学军事仿真技术研究所,长春130022

出　　处：《电脑编程技巧与维护》2012年第4期20-21,共2页Computer Programming Skills & Maintenance

摘　　要：关联规则的发现是数据挖掘的一个重要方面,而数量关联规则的发现不同于传统的布尔型关联规则。介绍了数量型关联规则挖掘的方法、步骤以及存在的问题,分析了几种具有代表性的数量型关联规则挖掘算法,提出了IQAM算法,并对数量型关联规则的挖掘进行了展望。Association rules mining is an important research field of data mining, and that quantitative association rule mining differenti-ates traditional Boolean association rule.This paper not only introduces mathods , steps and problems of quantitative association rule, but also analyzes several typical algorithms of quantitative association rule. This paper brings forward IQAM algorithm and views the prospect of quantitative association rule mining.

关 键 词：数据挖掘 数量关联规则 算法 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]