| 基于GA与RST的分类规则挖掘算法 |
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| 引用本文： | 谢娟英,刘芳,冯德民.基于GA与RST的分类规则挖掘算法[J].计算机科学,2006,33(11):149-150. |
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| 作者姓名： | 谢娟英 刘芳 冯德民 |
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| 作者单位： | 1. 陕西师范大学计算机科学学院,西安,710062
2. 西安电子科技大学计算机学院,西安,710071 |
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| 摘 要： | 本文提出了在没有任何领域知识可供借鉴的情况下，利用遗传算法对信息系统的数量型属性进行离散化，利用RST进行分类规则挖掘，将GA与RST相结合进行分类规则挖掘的新算法。该算法不仅有效地解决了利用粗糙集理论进行分类规则挖掘时，数量型属性的离散化问题，而且可挖掘出通用的分类规则。
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| 关 键 词： | 遗传算法 离散化 粗糙集理论 分类规则挖掘 |
Mining Classification Rules Based on GA and RST |
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| XIE Juan-Ying,LIU Fang,Feng De-Min.Mining Classification Rules Based on GA and RST[J].Computer Science,2006,33(11):149-150. |
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| Authors: | XIE Juan-Ying LIU Fang Feng De-Min |
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| Abstract: | A new algorithm for mining classification rules based on GA and RST is presented in this paper. And it is implemented in VC~ 6.0. The algorithm uses GA to discretizing values of quantitative attributes of an information system without any experienced knowledge about a special field, and uses RST for mining general classification rules. Its validity is proved by examples. |
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| Keywords: | Genetic algorithm Discretization Rough sets theory Mining classification rules |
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