Data mining approach in scientific research organizations evaluation via clustering
Liu, JL; Li, JP; Xu, WX; Shi, Y
2004
Source PublicationDATA MINING AND KNOWLEDGE MANAGEMENT
ISSN0302-9743
Volume3327Pages:7,128-134
AbstractData mining is a useful tool to draw useful information from large database. In scientific research organizations evaluation, there exists a problem of using the same criteria to evaluate different types of research organizations. In this paper we propose a clustering method to make classification of the scientific research organization of CAS, and then according to this classification we evaluate the scientific research organization using the annual evaluation database of CAS to test our method.
Subject AreaComputer Science, Artificial Intelligence ; Computer Science, Information Systems
Indexed BySCI
Language英语
WOS IDWOS:000227493600014
Citation statistics
Document Type期刊论文
Identifierhttp://ir.casisd.cn/handle/190111/5155
Collection中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
Recommended Citation
GB/T 7714
Liu, JL,Li, JP,Xu, WX,et al. Data mining approach in scientific research organizations evaluation via clustering[J]. DATA MINING AND KNOWLEDGE MANAGEMENT,2004,3327:7,128-134.
APA Liu, JL,Li, JP,Xu, WX,&Shi, Y.(2004).Data mining approach in scientific research organizations evaluation via clustering.DATA MINING AND KNOWLEDGE MANAGEMENT,3327,7,128-134.
MLA Liu, JL,et al."Data mining approach in scientific research organizations evaluation via clustering".DATA MINING AND KNOWLEDGE MANAGEMENT 3327(2004):7,128-134.
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