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Received:January 06, 2012 Revised:February 19, 2012
Received:January 06, 2012 Revised:February 19, 2012
中文摘要: 现有的数据挖掘算法多是集中式环境下的数据挖掘处理,但目前的大型数据库多以分布式的形式存在,针对分布式数据挖掘算法FDM 及其改进算法中存在的频繁项集丢失问题和网络通信开销过高的问题,提出了一种改进的基于关联规则的分布式数据挖掘算法LTDM,LTDM 算法引入了映射标示数组机制,可以在保证频繁项集完整性的同时降低网络的通信开销。实验结果证明了算法的有效性。
Abstract:Most of the existing data mining algorithms are processing in the centralized systems; however, at present large database is usually distributed. Compared with the frequent itemsets lost and high communication traffic in distributed database conventional and improved algorithm FDM, an improved distributed data mining algorithm LTDM based on association roles is proposed. LTDM algorithm introduces the mapping indicated array mechanism to keep the integrity of frequent itemsets and decrease the communication traffic. The experimental results prove the efficiency of the proposed algorithm.
keywords: distributed database data mining association rules frequent itemsets communication traffic
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
CAO Wen-Liang | Computer Engineering Department, Dongguan Polytechnic, Dongguan 543808, China |
Author Name | Affiliation |
CAO Wen-Liang | Computer Engineering Department, Dongguan Polytechnic, Dongguan 543808, China |
引用文本:
曹文梁.一种分布式数据库关联规则挖掘算法.计算机系统应用,2012,21(8):218-221
CAO Wen-Liang.Distributed Association Rules Mining Algorithm.COMPUTER SYSTEMS APPLICATIONS,2012,21(8):218-221
曹文梁.一种分布式数据库关联规则挖掘算法.计算机系统应用,2012,21(8):218-221
CAO Wen-Liang.Distributed Association Rules Mining Algorithm.COMPUTER SYSTEMS APPLICATIONS,2012,21(8):218-221