An improved centroid classifier for text categorization

doi:10.1016/j.eswa.2007.06.028

	An improved centroid classifier for text categorization
	Tan, Songbo
	2008-07-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	35 期号:1-2 页码:279-285
摘要	In the context of text categorization, Centroid Classifier has proved to be a simple and yet efficient method. However, it often suffers from the inductive bias or model misfit incurred by its assumption. In order to address this issue, we propose a novel batch-updated approach to enhance the performance of Centroid Classifier. The main idea behind this method is to take advantage of training errors to successively update the classification model by batch. The technique is simple to implement and flexible to text data. The experimental results indicate that the technique can significantly improve the performance of Centroid Classifier. (c) 2007 Elsevier Ltd. All rights reserved.
关键词	text classification information retrievals data mining
DOI	10.1016/j.eswa.2007.06.028
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:000257617100028
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：40[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/2XEOYT63/11386
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, Songbo
作者单位	Chinese Acad Sci, Inst Comp Technol, Intelligent Software Dept, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Tan, Songbo. An improved centroid classifier for text categorization[J]. EXPERT SYSTEMS WITH APPLICATIONS,2008,35(1-2):279-285.
APA	Tan, Songbo.(2008).An improved centroid classifier for text categorization.EXPERT SYSTEMS WITH APPLICATIONS,35(1-2),279-285.
MLA	Tan, Songbo."An improved centroid classifier for text categorization".EXPERT SYSTEMS WITH APPLICATIONS 35.1-2(2008):279-285.