| 粗糙集理论及其在数据挖掘中的应用 |
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| 引用本文： | 许亚梅. 粗糙集理论及其在数据挖掘中的应用[J]. 现代计算机, 2006, 0(3): 21-24 |
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| 作者姓名： | 许亚梅 |
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| 作者单位： | 广东省财经学校,南海528231 |
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| 摘 要： | 粗糙集理论是一种研究不完整、不确定知识处理的数学工具,近几年来已经在诸多领域得到应用,在机器学习、知识发现、算法研究、决策支持系统以及模式识别等应用中取得了较好的成果.本文在阐述粗糙集理论概念的基础上,介绍了粗糙集理论在数据挖掘中的两个应用.
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| 关 键 词： | 粗糙集 数据挖掘 分类规则 数据归约 |
| 收稿时间： | 2005-12-05 |
| 修稿时间： | 2005-12-05 |
Rough Sets Theory and Its Applications in Data Mining |
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| XU Ya-mei. Rough Sets Theory and Its Applications in Data Mining[J]. Modem Computer, 2006, 0(3): 21-24 |
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| Authors: | XU Ya-mei |
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| Abstract: | Rough set theory is a mathematical tool to study incomplete and uncertain knowledge processing. In recent years, it has been successfully applied in machine learning, knowledge discovery, algorithm research, decision support systems and pattern recognition. In this paper, we introduce the basic concepts of rough set and its applications in data mining. |
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| Keywords: | Rough Set Data Mining Classification Rule Data Reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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