visualizing the random forest by 3d techniques

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	visualizing the random forest by 3d techniques
	Yang Min ; Xu Hexin ; Zhu Dingju ; Chen Huijuan
	2012
会议名称	International Workshop on Internet of Things, IOT 2012
会议日期	August 17, 2012 - August 29, 2012
会议地点	Changsha, China
关键词	Classification (of information) Data mining Decision making Decision trees Internet Three dimensional computer graphics Visualization
页码	639-645
中文摘要	Random forest which contains a set of decision trees is a popular method in data mining. It has the advantages of high accuracy, high learning speed and the ability of dealing with high dimensional data. The decision model from the training process, however, is non-deterministic because of the sampling process. Although we can calculate correlations between different decision trees to infer the performance, it's not comprehensive to non-specialists. So, the goal of this project is to find a way of visualizing the learning process and the final model using 3D techniques. As a consequence, it can help in model selection by visualizing the patterns of different trees in terms of density, similarity and so on. Moreover, it can help users to understand how rules are learnt and then applied in decision making. Finally, it can provide an interactive interface for manual modifications (e.g. pruning). © 2012 Springer-Verlag.
英文摘要	Random forest which contains a set of decision trees is a popular method in data mining. It has the advantages of high accuracy, high learning speed and the ability of dealing with high dimensional data. The decision model from the training process, however, is non-deterministic because of the sampling process. Although we can calculate correlations between different decision trees to infer the performance, it's not comprehensive to non-specialists. So, the goal of this project is to find a way of visualizing the learning process and the final model using 3D techniques. As a consequence, it can help in model selection by visualizing the patterns of different trees in terms of density, similarity and so on. Moreover, it can help users to understand how rules are learnt and then applied in decision making. Finally, it can provide an interactive interface for manual modifications (e.g. pruning). © 2012 Springer-Verlag.
收录类别	EI
会议录	Communications in Computer and Information Science
语种	英语
ISSN号	1865-0929
ISBN号	9783642324260
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/15948]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Yang Min,Xu Hexin,Zhu Dingju,et al. visualizing the random forest by 3d techniques[C]. 见:International Workshop on Internet of Things, IOT 2012. Changsha, China. August 17, 2012 - August 29, 2012.