Research on Journal Evaluation Based on Principal Component Analysis

机译：基于主成分分析的日志评估研究

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Based on the Journal Citation measurement Index and data provided by the expand Chinese Journal Citation Reports 2009, using principal component analysis to reduce the number of related indicators into a few weak correlation indicators, solved the problem of distortion index weights. Put these composite indicators in accordance with the linear combination of weights, and ultimately evaluate the scientific and technical journals.

机译：基于Junigation Conity Resement Ident和数据的展会，使用主成分分析将相关指标数量减少到几个弱相关指标中，解决了失真索引权重的问题。按照重量的线性组合，并最终评估科学和技术期刊的这些复合指标。

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《International conference on cooperation and promotion of information resources in science and technology》|2010年||共6页
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作者
Guo meirong;
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正文语种
中图分类信息资源及其管理;
关键词
principal component analysis; journal evaluation; weight; SPSS;

机译：主成分分析;期刊评估;重量;SPSS;

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Research on Journal Evaluation Based on Principal Component Analysis

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