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Neighbor-weighted K-nearest neighbor for unbalanced text corpus
文献类型：期刊论文
| 作者 | Tan, SB |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2005-05-01 |
| 卷号 | 28期号:4页码:667-671 |
| 关键词 | text classification K-nearest neighbor (KNN) information retrieval data mining |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2004.12.023 |
| 英文摘要 | Text categorization or classification is the automated assigning of text documents to pre-defined classes based on their contents. Many of classification algorithms usually assume that the training examples are evenly distributed among different classes. However, unbalanced data sets often appear in many practical applications. In order to deal with uneven text sets, we propose the neighbor-weighted K-nearest neighbor algorithm, i.e. NWKNN. The experimental results indicate that our algorithm NWKNN achieves significant classification performance improvement on imbalanced corpora. (c) 2005 Elsevier Ltd. All rights reserved. |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000228124200007 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/10165]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Tan, SB |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Software Dept, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, SB. Neighbor-weighted K-nearest neighbor for unbalanced text corpus[J]. EXPERT SYSTEMS WITH APPLICATIONS,2005,28(4):667-671. |
| APA | Tan, SB.(2005).Neighbor-weighted K-nearest neighbor for unbalanced text corpus.EXPERT SYSTEMS WITH APPLICATIONS,28(4),667-671. |
| MLA | Tan, SB."Neighbor-weighted K-nearest neighbor for unbalanced text corpus".EXPERT SYSTEMS WITH APPLICATIONS 28.4(2005):667-671. |
入库方式： OAI收割
来源：计算技术研究所
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