| 基于粗糙集和遗传算法的数据挖掘方法 |
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| 作者单位： | 江南计算技术研究所 江苏无锡214083 |
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| 摘 要： | 运用粗糙集和遗传算法的理论,为大型的数据挖掘提供了一种新的方法。首先通过粗糙集理论对数据进行预处理,然后对属性简约,最后通过遗传算法进行规则提取,寻找最优解。
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| 关 键 词： | 粗糙集 遗传算法 数据挖掘 知识发现 |
Rough Set and Genetic Algorithm Based Data Mining |
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| HU Qi-tao,YUAN Zhi-ping,ZHOU Zhong-hai. Rough Set and Genetic Algorithm Based Data Mining[J]. Digital Community & Smart Home, 2008, 0(11) |
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| Authors: | HU Qi-tao YUAN Zhi-ping ZHOU Zhong-hai |
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| Abstract: | We find a new approach for data mining by using rough set and genetic algorithm.First of all,we pretreatment our data with rough set ,and then reduce attributes,at last,we extract the best rule through genetic algorithm. |
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| Keywords: | Rough Set Genetic Algorithm Data Mining Knowledge Discovery |
| 本文献已被 CNKI 等数据库收录！ |
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