The Relationship between Decision Trees and the Scale of Train Data Set
Chen N(陈宁); Zhu ML; Jiang Y; Chen A; Chen N(陈宁)
2006-06-21
会议名称6th World Congress on Intelligent Control and Automation
会议日期June, 2006
会议地点Dalian, China
其他题名决策树算法与训练样本规模的关系研究
页码6087-6091
通讯作者陈宁
中文摘要Decision Trees need train samples in the train data set to get classification rules. If the number of train data was too small, the important information might be missed and thus the model could not explain the classification rules of data. While it is not affirmative that large scale of train data set can get well model. This Paper analysis the relationship between decision trees and the train data scale. We use nine decision tree algorithms to experiment the accuracy, complexity and robustness of decision tree algorithms. Some results are demonstrated.
收录类别CPCI-S ; EI
合作状况国内
会议网址http://dx.doi.org/10.1109/WCICA.2006.1714250
会议录Proceedings of the 6th World Congress on Intelligent Control and Automation
学科主题力学
语种英语
ISSN号1-4244-0331-6
WOS记录号WOS:000241773206185
内容类型会议论文
源URL[http://dspace.imech.ac.cn/handle/311007/13830]  
专题力学研究所_力学所知识产出(1956-2008)
通讯作者Chen N(陈宁)
推荐引用方式
GB/T 7714
Chen N,Zhu ML,Jiang Y,et al. The Relationship between Decision Trees and the Scale of Train Data Set[C]. 见:6th World Congress on Intelligent Control and Automation. Dalian, China. June, 2006.http://dx.doi.org/10.1109/WCICA.2006.1714250.
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