| 决策树分类器融合在CRM客户分类中的应用研究 |
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| 引用本文： | 肖进.决策树分类器融合在CRM客户分类中的应用研究[J].软科学,2008,22(9). |
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| 作者姓名： | 肖进 |
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| 作者单位： | 四川大学,工商管理学院,成都,610064 |
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| 摘 要： | 将多分类器融合技术用于CRM中的客户分类研究,以提高分类性能。以决策树作为基本分类器,引入最小二乘技术进行多分类器线性融合。实证结果显示,4种不同的融合方案的分类性能均胜过任一基本分类器,甚至优于基于遗传算法的神经网络融合分类结果,从而表明了该方法的可行性和有效性。
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| 关 键 词： | 多分类器融合 最小二乘 决策树 CRM 客户分类 |
Fusion of Decision Tree Classifiers in CRM Customer Classification |
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| XIAO Jin.Fusion of Decision Tree Classifiers in CRM Customer Classification[J].Soft Science,2008,22(9). |
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| Authors: | XIAO Jin |
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| Abstract: | Applying multi-classifiers fusion technology to customer classification in CRM to improve the classifi- cation performance.This paper regards decision tree as basic classifier,and introduces the least square technology for linear fusion.It shows that,the classification performances of four different fusion schemes all outperform any basic classifier,even outperform the fusion of neural networks based on genetic algorithm,and thereby demonstrate the feasibility and validity of this method. |
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| Keywords: | CRM |
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