| 基于Rough集理论的数据挖掘属性约简技术的研究 |
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| 引用本文： | 徐宁,章云,孟月萍.基于Rough集理论的数据挖掘属性约简技术的研究[J].广东教育学院学报,2005,25(3):94-97. |
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| 作者姓名： | 徐宁 章云 孟月萍 |
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| 作者单位： | [1]广东教育学院计算机科学系，广东广州510303／／广东工业大学自动化学院，广东广州510090 [2]广东教育学院计算机科学系，广东广州510303 |
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| 摘 要： | 经过20多年的发展，Rough集理论获得了广泛的认识和运用，特别在数据挖掘、知识发现的研究中发挥着越来越大的作用．属性约简是大数据集压缩冗余数据的关键技术，Rough集理论基于数据分类的原理，提出了属性约简判定理论，并发展了多种约简技术，使数据挖掘中的属性约简难题摆脱了依赖主观处理的阶段，得到了有效的处理，并向高效约简的方向发展．
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| 关 键 词： | 数据挖掘 Rough集理论 属性约简 |
| 文章编号： | 1007-8754(2005)03-0094-04 |
| 修稿时间： | 2004年10月29 |
A Research into the Attribute Reduction Technique in Data Mining Based on Rough Sets Theory |
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| XU Ning,ZHANG Yun,MENG Yue-ping.A Research into the Attribute Reduction Technique in Data Mining Based on Rough Sets Theory[J].Journal of Guangdong Education Institute,2005,25(3):94-97. |
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| Authors: | XU Ning ZHANG Yun MENG Yue-ping |
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| Abstract: | After 20 years development, Rough Sets Theory has been known and applied worldly. It is playing a greater role in the computer application fields, especially in the research of Data Mining. Attribute reduction is the key technique to reduce the redundant data in large dataset. Based on the principle of data classing, Rough Sets Theory provides the determinant theory of attribute reduction, and helps to develop several reduction techniques. Because of these, Data Mining gets rid of relying subjective experience in reduction, and is going on the way of high efficient reduction techniques. |
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| Keywords: | data mining rough sets theory attribute reduction |
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