| 一种基于粗糙集合理论的知识发现模型 |
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| 引用本文： | 张文宇,朱欣娟,薛惠锋. 一种基于粗糙集合理论的知识发现模型[J]. 纺织高校基础科学学报, 2001, 14(4): 354-357 |
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| 作者姓名： | 张文宇 朱欣娟 薛惠锋 |
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| 作者单位： | 1. 西北工业大学自动控制系,
2. 西北纺织工学院计算中心, |
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| 摘 要： | 在对知识发现问题简单回顾的基础上,研究了粗糙集理论(RS)中属性的约减和核的概念,提出了基于粗糙集合理论的知识发现模型,并用实例验证了其算法的可行性.
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| 关 键 词： | 数据挖掘 知识发现 粗糙集 属性约减 |
| 文章编号： | 1006-8341(2001)04-0354-04 |
| 修稿时间： | 2001-04-11 |
A kind of model on knowledge discovery in database based on rough set theory |
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| ZHANG Wen-yu ,ZHU Xin-juan ,XUE Hui-feng. A kind of model on knowledge discovery in database based on rough set theory[J]. Basic Sciences Journal of Textile Universities, 2001, 14(4): 354-357 |
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| Authors: | ZHANG Wen-yu ZHU Xin-juan XUE Hui-feng |
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| Affiliation: | ZHANG Wen-yu 1,ZHU Xin-juan 2,XUE Hui-feng 1 |
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| Abstract: | The problem of KDD is simply reviewed, also, the attributes reduction and the concept of core on rough set are researched. Lastly,a model to discover knowledge based on rough set theory is given, and its algorithm is tested by an example. |
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| Keywords: | data mining knowledge discovery rough set attribute reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
