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A Distributed Data Mining System Based on Multi-agent Technology

机译:基于多智能体技术的分布式数据挖掘系统

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摘要

Distributed Data Mining is expected to discover preciously unknown, implicit and valuable information from massive data set inherently distributed over a network. In recent years several approaches to distributed data mining have been developed, but only a few of them make use of intelligent agents. This paper provides the reason for applying Multi-Agent Technology in Distributed Data Mining and presents a Distributed Data Mining System based on Multi-Agent Technology that deals with heterogeneity in such environment. Based on the advantages of both the CS model and agent-based model, the system is being able to address the specific concern of increasing scalability and enhancing performance.
机译:预计分布式数据挖掘将从网络固有地分布的大规模数据集中发现精确的未知,隐式和有价值的信息。近年来,已经开发了几种分布式数据挖掘的方法,但其中只有少数人利用智能代理商。本文提供了在分布式数据挖掘中应用多种子体技术的原因,并介绍了一种基于多种子体技术的分布式数据挖掘系统,这些系统在这种环境中涉及异质性。基于CS模型和基于代理的模型的优点,该系统能够解决提高可扩展性和增强性能的具体问题。

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