摘要
随着Internet的迅猛发展,分布式数据库得到广泛应用。本文分析了一些主要的分布式数据挖掘算法的优缺点,提出了一种在星形结构下的分布式关联规则挖掘算法(SDAM)。该算法改进了FDM算法,具有通讯量低、并行性及可扩展性好等优点。
With the rapid development of Internet, distributed database has been become a broadly used environment. The advantage and disadvantage of the main distributed association rules mining algrithms are analyzed, a new distributed association rules mining algrithm based on star network struture is proposed. This algorithm has the advantage of high efficiency in communication, good extension in parallel computation.
出处
《计算机科学》
CSCD
北大核心
2007年第12期180-181,188,共3页
Computer Science
关键词
数据挖掘
关联规则
分布式数据库
并行计算
Data mining, Association rules, Distributed, Parallel computation
