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Description: NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
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Size: 8192 |
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Description: 一个java 写的C4.5程序,非常棒,不过要调用WEKA,懂数据挖掘的人应该都了解。分享一下-C4.5 write a java program, great, but to call WEKA, people who understand data mining should be all about. Share
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Size: 8192 |
Author: Lei Wang |
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Description: 利用经典的C45算法实现特征集成选择,获得集成树分类规则-Use NeC4.5 to generate classification trees.
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Size: 4096 |
Author: Jacky |
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Description: NeC4.5: Neural Ensemble Based C4.5
Zhi-Hua Zhou, Member, IEEE, and Yuan Jiang
Abstract—Decision tree is with good comprehensibility while
neural network ensemble is with strong generalization ability.
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Size: 149504 |
Author: arsiphysic |
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