华侨大学学报（自然科学版）Issue(5)：524-528,5.DOI:10.11830/ISSN.1000-5013.2014.05.0523
FP？Growth的并行加权关联规则挖掘算法
A Parallel Weighted Association Rule Mining Algorithm on FP?Growth
摘要
Abstract
Proposeing a parallel weighted association rule mining (PWARM)algorithm on FP?Growth algorithm.Testi-fied that the algorithm is satisfy weighted downward closure property,using MapReduce mining association rules in paral-lel in a distributed cluster.Experimental analysis shows that this algorithm can satisfy the demand of mining the data with different weight in the database,and in dealing with large data sets to speed up the efficiency of mining.关键词
关联规则挖掘/并行加权/FP-Growth算法/MapReduce/加权频繁项集Key words
association rule mining/parallel weighted/FPGrowth algorithm/MapReduce/weighted frequent items分类
信息技术与安全科学引用本文复制引用
李翔,刘韶涛..FP？Growth的并行加权关联规则挖掘算法[J].华侨大学学报（自然科学版）,2014,(5):524-528,5.基金项目
国务院侨办科研基金资助项目 （）
