基于FP算法改进的多层次关联规则数据挖掘算法  

Multi-Level Association Rules with Data Mining Based on FP Algorithm Improvement

作　　者：操漫成[1] 

机构地区：[1]池州学院经贸系,池州247000

出　　处：《现代计算机》2008年第10期70-72,共3页Modern Computer

摘　　要：针对FP算法的缺陷,将OLAP技术和Apriori关联规则相结合,提出一种针对FP算法的改进的多层次关联规则数据挖掘算法,在分析关联规则数据挖掘结构的基础上,给出该算法的思想与执行步骤,对于关联规则数据挖掘的研究具有一定的理论意义。Aiming at the problems of FP algorithm, combining the OLAP technology with Apriori association rules, proposes the new algorithm that aimed the problems of FP algorithm, which is the FP algorithm improvement, and on the basis of analyzing the structure of data rules with data mining, develops the new algorithm＇s theory and its implement steps. All of these work are significative for researching data rules with data mining.

关 键 词：算法改进 多层次 关联规则 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP391.41[自动化与计算机技术—计算机科学与技术]