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| 基于元学习技术的分布式采掘关联规则研究 | |
| 引用本文： | 张继福,郑链,史虹,姚淑萍.基于元学习技术的分布式采掘关联规则研究[J].系统仿真学报,2004,16(4):696-699. |
| 作者姓名： | 张继福 郑链 史虹 姚淑萍 |
| 作者单位： | 1. 北京理工大学机电工程学院,北京,100081;太原重型机械学院计算机科学与工程系,太原,030024 2. 北京理工大学机电工程学院,北京,100081 3. 太原重型机械学院计算机科学与工程系,太原,030024 |
| 摘 要： | 关联规则是数据采掘中的重要研究内容。本文利用元学习技术提出了在分布式交易数据库环境下,分布式采掘关联规则的一种方法和相应算法DMAR。该算法具有较高的采掘效率和较低的数据通信量。定义了衡量采掘算法效率的分布式因子g,并指出算法的采掘效率和数据通信量与g值的大小有关。最后通过实验验证了该算法的正确性和有效性。 |
| 关 键 词： | 数据采掘 关联规则 分布式采掘 元学习技术 分布式因子 |
| 文章编号： | 1004-731X(2004)04-0696-04 |
| 修稿时间： | 2003年2月8日 |
Study of Distributed Mining Association Rules Based on Meta-learn Technology |
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| ZHANG Ji-fu,ZHENG Lian,SHI Hong,YAO Shu-ping.Study of Distributed Mining Association Rules Based on Meta-learn Technology[J].Journal of System Simulation,2004,16(4):696-699. | |
| Authors: | ZHANG Ji-fu ZHENG Lian SHI Hong YAO Shu-ping |
| Institution: | ZHANG Ji-fu1,2,ZHENG Lian1,SHI Hong2,YAO Shu-ping1 |
| Abstract: | Mining association rules is an important task of data mining. In this paper, a method and algorithm DMAR of distributed mining association rules is presented in distributed transaction database by using meta-learn technology. The algorithm has higher efficiency of mining and lower amount of communication. Distributed factor g is defined for measuring efficiency of mining algorithm, and it is pointed out that mining efficiency and data communication amount is related to g value. In the end, algorithm DMAR is proven to be correct and effective by experiment. |
| Keywords: | data mining association rule distributed mining meta-learn technology distributed factor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |