Visualizing the random forest by 3d techniques
文献类型：会议论文
| 作者 | Yang, Min; Xu, Hexin; Zhu, Dingju; Chen, Huijuan |
| 出版日期 | 2012 |
| 会议名称 | International Workshop on Internet of Things, IOT 2012 |
| 会议地点 | Changsha, PEOPLES R CHINA |
| 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 theability 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 byvisualizing 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). |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4315]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2012 |
| 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, PEOPLES R CHINA. |
入库方式： OAI收割
来源：深圳先进技术研究院
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