The Relationship between Decision Trees and the Scale of Train Data Set

IMECH-IR > 力学所知识产出(1956-2008)

	The Relationship between Decision Trees and the Scale of Train Data Set
其他题名	决策树算法与训练样本规模的关系研究
	Chen N(陈宁); Zhu ML; Jiang Y; Chen A; Chen N(陈宁)
会议录名称	Proceedings of the 6th World Congress on Intelligent Control and Automation
	2006-06-21
页码	6087-6091
会议名称	6th World Congress on Intelligent Control and Automation
会议日期	June, 2006
会议地点	Dalian, China
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.
WOS记录号	WOS:000241773206185
URL	查看原文
收录类别	CPCI-S ; EI
语种	英语
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/13830
专题	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]Proceedings of the 6th World Congress on Intelligent Control and Automation,2006:6087-6091.

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