A feature representation method for biomedical scientific data based on composite text description
SUN Wei; Sun Wei (E-mail: sunwei@mail.las.ac.cn)
2009-12-30
发表期刊Chinese Journal of Library and Information Science
ISSN1674-3393
卷号2期号:4页码:43-53
摘要

Feature representation is one of the key issues in data clustering. The existing feature representation of scientific data is not sufficient, which to some extent affects the result of scientific data clustering. Therefore, the paper proposes a concept of composite text description (CTD) and a CTD-based feature representation method for biomedical scientific data. The method mainly uses different feature weight algorisms to represent candidate features based on two types of data sources respectively, combines and finally strengthens the two feature sets. Experiments show that comparing with traditional methods, the feature representation method is more effective than traditional methods and can significantly improve the performance of biomedcial data clustering.

关键词Composite Text Description Scientific Data Feature Representation Weight Algorism
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项目资助者This project is supported by the Agridata, the sub-program of National Science and Technology Infrastructure Program (Grant No. 2005DKA31800).
文献类型期刊论文
条目标识符http://ir.las.ac.cn/handle/12502/5353
专题Journal of Data and Information Science_Chinese Journal of Library and Information Science-2009
通讯作者Sun Wei (E-mail: sunwei@mail.las.ac.cn)
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GB/T 7714
SUN Wei,Sun Wei . A feature representation method for biomedical scientific data based on composite text description[J]. Chinese Journal of Library and Information Science,2009,2(4):43-53.
APA SUN Wei,&Sun Wei .(2009).A feature representation method for biomedical scientific data based on composite text description.Chinese Journal of Library and Information Science,2(4),43-53.
MLA SUN Wei,et al."A feature representation method for biomedical scientific data based on composite text description".Chinese Journal of Library and Information Science 2.4(2009):43-53.
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