| 急切式和懒惰式学习策略相结合的决策树分类模型 |
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| 引用本文： | 黄泽宇,卢润彩.急切式和懒惰式学习策略相结合的决策树分类模型[J].北京交通大学学报(自然科学版),2005,29(5):92-97. |
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| 作者姓名： | 黄泽宇 卢润彩 |
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| 作者单位： | 北京交通大学,计算机与信息技术学院,北京,100044;石家庄信息工程职业学院,计算机系,河北,050035 |
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| 摘 要： | 急切式学习策略和懒惰式学习策略有着不同的学习和分类机制.通过分析急切式学习策略下的普通决策树模型和懒惰式学习策略下的懒惰式决策树模型,提出了一种新的决策树分类模型即Semi-LDtree.它生成的决策树的结点,如普通决策树一样,包含单变量分裂,但是叶子结点相当于一个懒惰式决策树分类器.这种分类模型保留了普通决策树良好的可解释性,实验结果表明它提高了分类速度和分类精确度,特别是在大的数据集合上效果更加明显.
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| 关 键 词： | 急切式学习策略 懒惰式学习策略 懒惰式决策树 朴素贝叶斯 |
| 文章编号： | 1673-0291(2005)05-0092-06 |
| 收稿时间： | 2005-03-27 |
| 修稿时间： | 2005年3月27日 |
A Decision-Tree Classifier Hybrid Model of Eager Strategy and Lazy Strategy |
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| HUANG Ze-Yu,LU Run-Cai.A Decision-Tree Classifier Hybrid Model of Eager Strategy and Lazy Strategy[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,2005,29(5):92-97. |
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| Authors: | HUANG Ze-Yu LU Run-Cai |
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| Institution: | 1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; 2. Department of Computer, Shijiazhuang Information Engineering Vocational College, Shijiazhuang 050035, China |
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| Abstract: | The eager strategy and lazy strategy have different learning and classification mechanism.On the basis of analyzing regular decision tree classification model adopting eager strategy and lazy decision-tree classification model adopting lazy strategy,we propose a new decision-tree classification model,Semi-LDtree: the decision-tree nodes contain univariate splits as regular decision-trees,but the leaves contain lazy decision-tree classifiers.This classification model retains the good interpretability of decision-tree.The experimental results show this model has the higher classification accuracy and faster speed,especially on the larger databases tested. |
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| Keywords: | eager strategy lazy strategy lazy decision-tree naive Bayes |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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