| 基于改进遗传算法的多维关联规则挖掘方法及应用 |
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| 引用本文： | 王仲君,程涤.基于改进遗传算法的多维关联规则挖掘方法及应用[J].重庆工学院学报,2009,23(4):55-59. |
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| 作者姓名： | 王仲君 程涤 |
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| 作者单位： | 武汉理工大学理学院; |
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| 基金项目： | 国家科学技术协会重点研究课题(2007DCTJ08) |
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| 摘 要： | 对遗传算法进行改进,并应用于多维关联规则挖掘中.在该算法中提出了一种基于免疫机制的新选择策略,并引入随机数,采用自适应方法随机动态选取交叉和变异概率.这种新算法不仅有效地抑制了早熟收敛现象,而且大大提高了搜索效率.
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| 关 键 词： | 数据挖掘 多维关联规则 遗传算法 |
Method and Application of Mining Association Rules Based on Improved Genetic Algorithm |
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| WANG Zhong-jun,CHENG Di.Method and Application of Mining Association Rules Based on Improved Genetic Algorithm[J].Journal of Chongqing Institute of Technology,2009,23(4):55-59. |
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| Authors: | WANG Zhong-jun CHENG Di |
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| Affiliation: | Dept.of Statistics;School of Science;Wuhan University of Technology;Wuhan 430063;China |
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| Abstract: | This paper improves genetic algorithm and applies it in multi-dimensional association rule mining.A new selection strategy based on immune mechanism is proposed,random number is introduced,and auto-adapted method dynamically and stochastically selecting crossover probability and mutation probability are used.The new algorithm not only restrains premature convergence effectively,but also raises the search efficiency greatly. |
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| Keywords: | data mining multi-dimension association rule genetic algorithm |
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