| 基于改进型遗传算法的数据挖掘系统设计 |
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| 引用本文： | 崔博,王东方,刘海英.基于改进型遗传算法的数据挖掘系统设计[J].唐山师范学院学报,2007,29(5):89-91. |
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| 作者姓名： | 崔博 王东方 刘海英 |
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| 作者单位： | 1. 河北理工大学,信息学院,河北,唐山,063009
2. 河北北方大厦,河北,石家庄,050041 |
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| 摘 要： | 提出了对遗传算法中适应度函数的构造,数据的编码等问题的改进方案,通过对"早熟"问题的分析,将改进的自适应交叉概率Pc和变异概率Pm算法应用到遗传算法中。最后给出了一种基于遗传算法的关联规则挖掘算法,并应用一个实例验证了算法的有效性。
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| 关 键 词： | 数据挖掘 遗传算法 关联规则 |
| 文章编号： | 1009-9115（2007）05-0089-03 |
| 修稿时间： | 2006-11-08 |
Design for the Data Mining System Based on Improved Genetic Algorithms |
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| CUI Bo,WANG Dong-fang,LIU Hai-ying.Design for the Data Mining System Based on Improved Genetic Algorithms[J].Journal of Tangshan Teachers College,2007,29(5):89-91. |
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| Authors: | CUI Bo WANG Dong-fang LIU Hai-ying |
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| Institution: | 1. College of Information, Hebei Polytechnic University, Hebei Tangshan 063009, China; 2. Hebei North Mansion, Hebei Shijiazhuang 050041, China |
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| Abstract: | According to the characteristic of associate rule mining;an improved project about the construction of function of fitness,coding method of data and so on is put forward.By the research of inadequacies of evaluation,the algorithm of improved adaptive cross probability Pc and aberrance probability Pm is put in the genetic algorithm,and the algorithm efficiency is improved.At last,an algorithm of associate rule mining based on genetic algorithm is brought forward and it is proved effective by an example. |
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| Keywords: | data mining genetic algorithm associate rule |
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