计算机科学 ›› 2007, Vol. 34 ›› Issue (12): 180-181.

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基于星型网络的分布式关联规则挖掘算法研究

黄贤英 王柯柯 范伟   

  1. 重庆工学院计算机系,重庆400050
  • 出版日期:2018-11-16 发布日期:2018-11-16

HUANG Xian-Ying WANG Ke-Ke FAN Wei (Department of Computer,Chongqing Institute of Technology, Chongqing 400050)   

  • Online:2018-11-16 Published:2018-11-16

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。

关键词: 数据挖掘 关联规则 分布式数据库 并行计算

Abstract: 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 alg

Key words: Data mining, Association rules, Distributed, Parallel computation

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