Neighbor-weighted K-nearest neighbor for unbalanced text corpus

doi:10.1016/j.eswa.2004.12.023

	Neighbor-weighted K-nearest neighbor for unbalanced text corpus
	Tan, SB
	2005-05-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	28 期号:4 页码:667-671
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.
关键词	text classification K-nearest neighbor (KNN) information retrieval data mining
DOI	10.1016/j.eswa.2004.12.023
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000228124200007
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：221[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10166
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.