An improved random forest classifier for text categorization
文献类型：期刊论文
| 作者 | Baoxun Xu; Xiufeng Guo; Yunming Ye; Jiefeng Cheng |
| 刊名 | Journal of Computers
 |
| 出版日期 | 2012 |
| 英文摘要 | This paper proposes an improved random forest algorithm for classifying text data. This algorithm is particularly designed for analyzing very high dimensional data with multiple classes whose well-known representative data is text corpus. A novel feature weighting method and tree selection method are developed and synergistically served for making random forest framework well suited to categorize text documents with dozens of topics. With the new feature weighting method for subspace sampling and tree selection method, we can effectively reduce subspace size and improve classification performance without increasing error bound. We apply the proposed method on six text data sets with diverse characteristics. The results have demonstrated that this improved random forests outperformed the popular text classification methods in terms of classification performance. |
| 收录类别 | EI |
| 原文出处 | http://connection.ebscohost.com/c/articles/88949021/improved-random-forest-classifier-text-categorization |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4150]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | Journal of Computers |
| 推荐引用方式 GB/T 7714 | Baoxun Xu,Xiufeng Guo,Yunming Ye,et al. An improved random forest classifier for text categorization[J]. Journal of Computers,2012. |
| APA | Baoxun Xu,Xiufeng Guo,Yunming Ye,&Jiefeng Cheng.(2012).An improved random forest classifier for text categorization.Journal of Computers. |
| MLA | Baoxun Xu,et al."An improved random forest classifier for text categorization".Journal of Computers (2012). |
入库方式： OAI收割
来源：深圳先进技术研究院
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