基于数据挖掘的分步式定性推理

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摘要提出了一种基于数据挖掘和多智能体的分布式协同定性定量综合集成模型 ,该模型利用了定性定量综合集成思想 ,用于提高定性推理实际性能 ,并结合数据挖掘技术、分布式智能 ,有效地提高了现有定性推理系统的性能 ,为现有的定性推理系统的进一步发展奠定了基础。

作者王恬宇陈雪强

机构地区南京政治学院上海分院军事信息管理系

出处《情报杂志》 CSSCI 北大核心 2005年第1期50-52,共3页 Journal of Intelligence

关键词数据挖掘技术定性推理分布式智能多智能体综合集成模型协同合数实际定性定量

参考文献12

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情报杂志

2005年第1期

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