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《Journal of Intelligence》 2015-02
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Comparison of Biclustering Analysis and Burst Detection Algorithm in Detecting Research Fronts and Intellectual Base:A Case Study of H-index

Fang Li;Cui Lei;Library,Shengjing Hospital of China Medical University;Department of Medical Information,China Medical University;  
To summarize the different train of thought of biclustering algorithm and burst detection algorithm as well as their advantages and disadvantages.We obtained research fronts and intellectual base of H-index by biclustering algorithm and burst detection algorithm respectively,and then compared these results.It is found that in detecting intellectual base of h index subject,the clusters of highly cited documents created by biclustering analysis were more structured and clear.Burst detection algorithm showed superiority in recognizing h index dynamic development.The research can provide beneficial reference to further study of research fronts and intellectual base detection by exploring the scientific research activities from a new perspective.
【CateGory Index】: TP311.13
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【Citations】
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