分布式异构数据库中相关规则并行开采研究

分布式异构数据库中相关规则并行开采研究 Parallel Mining for Association Rules in Heterogeneous Distributed Databases 何炎祥 HE Yan\|xiang 1 first-author 彭锋 PENG Feng 1 宋文欣 SONG Wen\|xin 1 武汉大学软件工程国家重点实验室,武汉,430072 武汉大学软件工程国家重点实验室,武汉,430072 State Key Laboratory of Software Engineering, Wuhan University State Key Laboratory of Software Engineering, Wuhan University 首先简单介绍了相关规则及其并行开采算法的一些基本情况，然后指出了现有算法在分布式异构数据库中不能有效利用计算资源和造成信息丢失的问题．在证明了一个基本的定理之后，提出了基于ＨＤＤＭｉｎｅｒ模型的异步并行算法，并就其中的一些问题作了说明．最后，介绍了分布式异构数据库中数据开采的并行算法中一些仍需继续研究的问题． The problem of mining association rules and its relative parallel mining algorithms is presented. The problems that existing algorithms can cause low efficiency and information lost in heterogeneous distributed databases is pointed out. An asynchronous parallel algorithm based on our HDDMiner system for mining association rules in heterogeneous distributed databases is given after a basic theory is proved. Some problems involved are discussed in detail as well. At the end of this paper, several key issues in the research of parallel algorithms in heterogeneous distributed databases are introduced. 数据库中的知识发现 相关规则 分布式异构数据库 并行开采算法 knowledge discovery in database association rule heterogeneous distributed databases parallel mining algorithms TP311.133.1 湖北省自然科学基金(2017CFA007) 1999-05-01 2021-04-01 5