| 基于概念层级和分层挖掘的非单调数据挖掘算法 |
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| 引用本文： | 杨杰,叶晨洲,李国正.基于概念层级和分层挖掘的非单调数据挖掘算法[J].上海交通大学学报,2001,35(11):1651-1654. |
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| 作者姓名： | 杨杰 叶晨洲 李国正 |
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| 作者单位： | 上海交通大学,图像处理和模式识别研究所, |
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| 基金项目： | 国家"863"高技术计划资助项目(863-511-945-005) |
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| 摘 要： | 引入概念层级和采用分层挖掘处理数据挖掘中的非单调性,提出了结合粗糙集和概念层级的非单调规则挖掘算法,以及基于混合知识模型和分层挖掘的非单调数据挖掘算法,通过一故障诊断实例,阐明了该算法的原理,并介绍了基于遗传算法的模糊规则自动生成和故障诊断神经网的构造。
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| 关 键 词： | 数据挖掘 非单调逻辑 粗糙集 人工神经网 概念层级 分层挖掘 智能系统 |
| 文章编号： | 1006-2467(2001)11-1651-04 |
| 修稿时间： | 2000年11月16 |
Algorithms of Nonmonotonic Data Mining Based on Concept Hierarchy and Layered Mining |
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| YANG Jie,YE Cheng zhou,LI Guo zheng.Algorithms of Nonmonotonic Data Mining Based on Concept Hierarchy and Layered Mining[J].Journal of Shanghai Jiaotong University,2001,35(11):1651-1654. |
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| Authors: | YANG Jie YE Cheng zhou LI Guo zheng |
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| Abstract: | Few existing data mining techniques consider nonmonotony in data mining. In this paper, nonmonotony in data mining was dealt with by concept hierarchy and layered mining. An algorithm for extracting nonmonotonic rules based on rough set and concept hierarchy and an algorithm for nonmonotonic data mining based on hybridized knowledge representation models and layered mining were presented. By an example of fault diagnosis the principle of nonmonotonic data mining based on hybridized knowledge representation models and layered mining was described. And an algorithm for automatic generation of fuzzy rules, and the construction of a diagnostic neural network were presented. |
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| Keywords: | data mining nonmonotonic logic rough set artificial neural network fault diagnosis |
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