| 引用本文： |
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黄宏本,李余琪,覃伟良.一种基于遗传算法的分类规则挖掘算法[J].广西科学院学报,2010,26(2):162-166. [点击复制]
- HUANG Hong-ben,LI Yu-qi,QIN Wei-liang.An Algorithm of Classification Rules Based on Genetic Algorithms[J].Journal of Guangxi Academy of Sciences,2010,26(2):162-166. [点击复制]
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| 摘要: |
| 对遗传算法应用于分类规则挖掘问题进行研究,提出一种基于遗传算法和Apriori算法的混合分类规则挖掘算法,该算法的具体方案包括分类规则编码、适应度函数定义以及对进化后的规则的约简方法,最后通过实例仿真证明了该算法的有效性。 |
| 关键词: 分类规则 遗传算法 数据挖掘 |
| DOI： |
| 投稿时间：2010-04-12 |
| 基金项目:广西教育厅科研项目(200708MS056)，梧州学院科研项目(2007C006)资助。 |
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| An Algorithm of Classification Rules Based on Genetic Algorithms |
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HUANG Hong-ben1, LI Yu-qi1, QIN Wei-liang2
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| (1.Department of Computer Science, Wuzhou University, Wuzhou, Guangxi, 543002, China;2.Changzhou School, Wuzhou, Guangxi, 543006, China) |
| Abstract: |
| The classification rules mining using genetic algorithms is studied.Then a new classification rules mining algorithm based on genetic algorithms and apriori algorithm,include the encoding of classification rules,definition of fitness function and a reduction method for the evolutional rules is introduced.Finally,the effiency of this algorithm by simulation is proved. |
| Key words: classification rules genetic algorithms data mining |
