时态关联规则挖掘方法的研究  

Research on data mining algorithm of a dynamic association rule

作　　者：贾伟[1] 郭红丽[1] 

机构地区：[1]山西财经大学信息管理学院,山西太原030006

出　　处：《计算机工程与设计》2006年第6期988-989,992,共3页Computer Engineering and Design

摘　　要：利用时态关联规则的分析,可以得到一系列相关性的项目集合,从而为决策提供更加有利的帮助和支持。在研究了传统的静态关联规则的基础上,提出了一种以交易规模的变化率为处理对象,即考虑各类项目交易量的变动状况的时态关联规则的表述与挖掘方法,并对其表述形式及算法实现进行了探讨。A series of correlation item set is obtained by analysing dynamic association rule so as to provide assistance and support for making decision. Based on study of traditional static association rules, an exhibition and exploring approach that takes as its processing object change of transaction scales are presented. And its expression and algorithm are discussed.

关 键 词：时态关联规则 静态关联规则 数据挖掘 算法 项目 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]