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多智能体技术在基于双库协同机制的知识发现KDD^＊模型设计中的应用 被引量：5

Application of Multi-agent Technologies to the Model Design of Knowledge Discovery in Database Based on the Double-bases Cooperation Mechanism
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摘要 KDD*模型是基于双库协同机制的知识发现新模型,是结构化数据挖掘领域研究的一个新的分支.为了进一步提高KDD*的智能性,设计了一个基于Multi-agent技术的智能数据挖掘系统.利用多智能体技术,实现了数据预处理、数据挖掘、知识的自动获取、基础数据库与知识库的同步进化与协调、知识的评价与表示等功能. The KDD* model, a bench in the field of structured data mining, is proposed based on the double-bases (database and knowledge base) cooperation mechanism. In order to improve the intelligence of KDD*, an intelligent data mining system based on the multi-agent technologies is designed to realize data preprocessing, data mining, automatic extracting of knowledge, synchronous evolving and cooperating of basic database and knowledge base, knowledge evaluating and explaining.
作者 游福成 杨炳儒 马文秀
机构地区 北京科技大学信息工程学院 河北经贸大学计算机中心
出处 《北京科技大学学报》 EI CAS CSCD 北大核心 2003年第1期95-98,共4页 Journal of University of Science and Technology Beijing
基金 国家自然科学基金资助项目(No.69835001)
关键词 双库协同机制 KDD^＊模型 模型设计 模型结构 数据挖掘 多智能体 知识发现 knowledge discovery multi-agent data mining
分类号 TP182 [自动化与计算机技术—控制理论与控制工程]
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北京科技大学学报
2003年 第1期

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