| 基于粗糙集的数据挖掘 |
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| 引用本文： | 庞倩超,王晏民.基于粗糙集的数据挖掘[J].北京建筑工程学院学报,2005,21(4):28-31. |
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| 作者姓名： | 庞倩超 王晏民 |
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| 作者单位： | 1. 浙江大学,计算机学院,杭州,310027
2. 北京建筑工程学院,测绘工程系,北京,100044 |
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| 摘 要： | 粗糙集理论在分类的意义下定义了模糊性和不确定性的概念,是一种处理不确定和不精确问题的新型数学工具,文中以实例介绍了粗糙集的基本理论,并通过一个实例详细介绍了在基于对决策表属性约简的基础上采用了可变精度粗糙模型实现规则的获取. 该实例说明了基于粗糙集进行规则的挖掘是有效的.
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| 关 键 词： | 粗糙集 数据挖掘 信息系统 规则 |
| 文章编号： | 1004-6011（2005）04-0028-04 |
| 收稿时间： | 2005-08-31 |
| 修稿时间： | 2005年8月31日 |
Data Mining Based on Rough Set |
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| Pang Qianchao,Wang Yanmin.Data Mining Based on Rough Set[J].Journal of Beijing Institute of Civil Engineering and Architecture,2005,21(4):28-31. |
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| Authors: | Pang Qianchao Wang Yanmin |
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| Affiliation: | 1, College of Computer Zhejiang University, Hangzhou Zhejiang 310000; 2, Dept. of Surveying and Mapping Engineering, Beijing 100044 |
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| Abstract: | The rough set theory is a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features.In this paper,basic theory of rough set is introduced using an examples,and the implementation of rule mining by variable precision rough set model based on reduction of decision-form feature is illustrated using an example.It is effective for rule mining based on rough set by the example. |
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| Keywords: | rough set data mining information system rule |
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