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text clustering using frequent itemsets
文献类型：期刊论文
| 作者 | Zhang Wen ; Yoshida Taketoshi ; Tang Xijin ; Wang Qing |
| 刊名 | Knowledge-based Systems
 |
| 出版日期 | 2010 |
| 卷号 | 23期号:5页码:379-388 |
| 关键词 | Document clustering Frequent itemsets Maximum capturing Similarity measure Competitive learning SEQUENCES |
| 通讯作者 | Zhang, W (通讯作者), Chinese Acad Sci, Inst Software, Lab Internet Software Technol, Beijing 100190, Peoples R China |
| 收录类别 | SCI |
| WOS记录号 | WOS:000278881300002 |
| 公开日期 | 2010-08-23 |
| 附注 | Frequent itemset originates from association rule mining. Recently, it has been applied in text mining such as document categorization, clustering, etc. In this paper, we conduct a study on text clustering using frequent itemsets. The main contribution of this paper is three manifolds. First, we present a review on existing methods of document clustering using frequent patterns. Second, a new method called Maximum Capturing is proposed for document clustering. Maximum Capturing includes two procedures: constructing document clusters and assigning cluster topics. We develop three versions of Maximum Capturing based on three similarity measures. We propose a normalization process based on frequency sensitive competitive learning for Maximum Capturing to merge cluster candidates into predefined number of clusters. Third, experiments are carried out to evaluate the proposed method in comparison with CFWS, CMS, FTC and FIHC methods. Experiment results show that in clustering, Maximum Capturing has better performances than other methods mentioned above. Particularly, Maximum Capturing with representation using individual words and similarity measure using asymmetrical binary similarity achieves the best performance. Moreover, topics produced by Maximum Capturing distinguished clusters from each other and can be used as labels of document clusters. (C) 2010 Elsevier B.V. All rights reserved. |
| 源URL | [http://124.16.136.157/handle/311060/3910]  |
| 专题 | 软件研究所_互联网软件技术实验室 _期刊论文 |
| 推荐引用方式 GB/T 7714 | Zhang Wen,Yoshida Taketoshi,Tang Xijin,et al. text clustering using frequent itemsets[J]. Knowledge-based Systems,2010,23(5):379-388. |
| APA | Zhang Wen,Yoshida Taketoshi,Tang Xijin,&Wang Qing.(2010).text clustering using frequent itemsets.Knowledge-based Systems,23(5),379-388. |
| MLA | Zhang Wen,et al."text clustering using frequent itemsets".Knowledge-based Systems 23.5(2010):379-388. |
入库方式： OAI收割
来源：软件研究所
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