Institute of Computing Technology, Chinese Academy IR
Binary k-nearest neighbor for text categorization | |
Tan, SB | |
2005 | |
发表期刊 | ONLINE INFORMATION REVIEW |
ISSN | 1468-4527 |
卷号 | 29期号:4页码:391-399 |
摘要 | Purpose - With the ever-increasing volume of text data via the internet, it is important that documents are classified as manageable and easy to understand categories. This paper proposes the use of binary k-nearest neighbour (BKNN) for text categorization. Design/methodology/approach - The paper describes the traditional k-nearest neighbor (KNN) classifier, introduces BKNN and outlines experiemental results. Findings - The experimental results indicate that BKNN requires much less CPU time than KNN, without loss of classification performance. Originality/value - The paper demonstrates how BKNN can be an efficient and effective algorithm for text categorization. Proposes the use of binary k-nearest neighbor (BKNN) for text categorization. |
关键词 | classification information retrieval data handling |
DOI | 10.1108/14684520510617839 |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Information Science & Library Science |
WOS类目 | Computer Science, Information Systems ; Information Science & Library Science |
WOS记录号 | WOS:000232354500005 |
出版者 | EMERALD GROUP PUBLISHING LIMITED |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/10292 |
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 | Chinese Acad Sci, Software Dept, Comp Technol Inst, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Tan, SB. Binary k-nearest neighbor for text categorization[J]. ONLINE INFORMATION REVIEW,2005,29(4):391-399. |
APA | Tan, SB.(2005).Binary k-nearest neighbor for text categorization.ONLINE INFORMATION REVIEW,29(4),391-399. |
MLA | Tan, SB."Binary k-nearest neighbor for text categorization".ONLINE INFORMATION REVIEW 29.4(2005):391-399. |
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