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
Source PublicationChinese Journal of Library and Information Science
ISSN1674-3393
Volume2Issue:4Pages:43-53
Abstract

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.

KeywordComposite Text Description Scientific Data Feature Representation Weight Algorism
Subject Area编辑出版
URL查看原文
Funding OrganizationThis project is supported by the Agridata, the sub-program of National Science and Technology Infrastructure Program (Grant No. 2005DKA31800).
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/5353
CollectionJournal of Data and Information Science_Chinese Journal of Library and Information Science-2009
Corresponding AuthorSun Wei (E-mail: sunwei@mail.las.ac.cn)
Recommended Citation
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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