| 一种不均衡数据的改进蚁群分类算法 |
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| 引用本文： | 徐淑坦,王朝勇,孙延风. 一种不均衡数据的改进蚁群分类算法[J]. 吉林大学学报(理学版), 2011, 49(4): 733-739 |
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| 作者姓名： | 徐淑坦 王朝勇 孙延风 |
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| 作者单位： | 1. 吉林大学 计算机科学与技术学院, 长春 130012,2. 吉林工程技术师范学院 应用科学学院, 长春 130052 |
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| 摘 要： | 针对蚁群挖掘算法(ant colony mining algorithm,ACMA)中的规则评价函数和规则修剪方法,提出一种改进的蚁群挖掘算法(improved ant colony mining algorithm,IACMA),并将其应用于不均衡数据分类.数值实验采用基准数据库中3种典型的不均衡数据,结果表明,改进...
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| 关 键 词： | 不均衡数据分类 蚁群分类算法 蚁群挖掘算法 数据挖掘 规则提取 |
| 收稿时间： | 2010-07-26 |
An Improved Ant-Miner Algorithm for Unbalanced Data |
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| XU Shu-tan,WANG Chao-yong,SUN Yan-feng. An Improved Ant-Miner Algorithm for Unbalanced Data[J]. Journal of Jilin University: Sci Ed, 2011, 49(4): 733-739 |
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| Authors: | XU Shu-tan WANG Chao-yong SUN Yan-feng |
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| Affiliation: | 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China；2. School of Applied Science, Jilin Teachers Institute of Engineering and Technology, Changchun 130052, China |
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| Abstract: | Based on the quality function and pruning method of antcolony mining algorithm (ACMA), an improved ant colony mining algorithm (IACMA)
was proposed and applied to unbalanced data classification. Three datasets fromthe typical benchmark database were used for the numerical experiment. The simulation results show that the IACMA can better process the minor categories, and improve the overall classification accuracy. |
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| Keywords: | unbalanced data classification Ant Miner ant colony mining algorithm data mining rule extraction |
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