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数字图书馆的分布式数据挖掘 被引量:4

Distributed Data Mining in Digital Libraries
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摘要 分布式数据挖掘作为适用于异质异构数据的一种数据挖掘方式,它能有效处理数字图书馆分布式数据库的数据挖掘,解决好元数据集中管理与对象数据分散存取之间的矛盾。数字图书馆分布式数据系统在目前技术水平下,可根据PADMA系统理论,基于智能化的软件代理进行构建。 Distributed data mining, a kind of data mining method applicable to heterogeneous data, can be effectively used for data-mining of distributed databases in digital hbraries. It can resolve the contradiction between the integrated management of meta data and the distributed preservation of object data. Under the current technological conditions, the distributed data mining system of digital library can be constructed according to the theory of the PADMA system and based on the intelligent software agent.
作者 胡誉耀
出处 《情报理论与实践》 CSSCI 北大核心 2006年第3期358-360,共3页 Information Studies:Theory & Application
关键词 数字图书馆 数据挖掘 分布式数据挖掘 软件代理 digital library data mining distributed data mining software agent
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