| 基于粗糙集理论的数据挖掘研究 |
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| 引用本文： | 郭冬梅.基于粗糙集理论的数据挖掘研究[J].科技信息,2011(3):I0060-I0060,I0068. |
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| 作者姓名： | 郭冬梅 |
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| 作者单位： | 安徽理工大学计算机科学与工程学院; |
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| 摘 要： | 数据挖掘的技术很多,其中粗糙集理论得到了广泛的应用。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,它可对不完整的数据进行分析和归纳,从中发现知识。本文介绍了数据挖掘基本概念,阐述了粗糙集理论的基本思想,探讨了基于粗糙集理论的数据挖掘方法。
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| 关 键 词： | 数据挖掘 粗糙集理论 知识发现 |
Research of Data Mining Based on Rough Set Theory |
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| GUO Dong-mei.Research of Data Mining Based on Rough Set Theory[J].Science,2011(3):I0060-I0060,I0068. |
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| Authors: | GUO Dong-mei |
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| Institution: | GUO Dong-mei(College of Computer Science and Engineering,Anhui University of Science and Technology,Huainan Anhui,232001) |
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| Abstract: | Rough set theory which is one of the technology of Data mining has been applied widely.Rough set theory is a mathematical tool to study incomplete and uncertain knowledge processing.It can analyze and conclude the incomplete data,and then discover knowledge among them.This paper introduces the basic concept of data mining,reviews the basic idea of rough set theory,discusses the method of data mining based on rough set theory. |
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| Keywords: | Data Mining Rough Set Theory Knowledge discovery |
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