Effective pattern taxonomy mining in text documents

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题名:	Effective pattern taxonomy mining in text documents
作者:	Li, Yuefeng;Wu, Sheng-Tang;Tao, Xiaohui
贡献者:	Department of Information Science and Applications
关键词:	Data mining;Knowledge management;Taxonomies;Data mining techniques;Existing method;Pattern evolving;Pattern taxonomy;Research issues;Text document;Text mining
日期:	2008
上传时间:	2010-04-08 12:36:10 (UTC+0)
出版者:	Asia University
摘要:	Many data mining techniques have been proposed for mining useful patterns in databases. However, how to effectively utilize discovered patterns is still an open research issue, especially in the domain of text mining. Most existing methods adopt term-based approaches. However, they all suffer from the problems of polysemy and synonymy. This paper presents an innovative technique, pattern taxonomy mining, to improve the effectiveness of using discovered patterns for finding useful information. Substantial experiments on RCV1 demonstrate that the proposed solution achieves encouraging performance.
關聯:	International Conference on Information and Knowledge Management, Proceedings :1509-1510
显示于类别:	[行動商務與多媒體應用學系] 會議論文

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