| 基于多重共现的可视化分析工具设计及其知识发现方法研究 |
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| 引用本文： | 庞弘燊,方曙.基于多重共现的可视化分析工具设计及其知识发现方法研究[J].图书情报知识,2012(2):100-107. |
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| 作者姓名： | 庞弘燊 方曙 |
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| 作者单位： | 1. 中国科学院国家科学图书馆成都分馆,成都610041／中国科学院研究生院,北京100190
2. 中国科学院国家科学图书馆成都分馆,成都,610041 |
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| 摘 要： | 本文在界定多重共现概念的基础上,阐述了它与一般共现的区别,同时对Morris交叉图技术进行改进,开发了多重共现的可视化分析工具,并对多重共现的知识发现方法进行了研究。最后还综合运用多重共现可视化分析工具及多重共现的知识发现分析方法,对机构-期刊-关键词的样本数据进行了实证分析。通过分析发现,该套工具以及知识发现方法能较为有效地发现论文中三个特征项之间的多重共现关系,并能揭示出比一重共现现象更为广泛和深入的信息内容。
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| 关 键 词： | 共现 多重共现 可视化分析工具 共现交叉图 知识发现 |
Research on Knowledge Discovery Method and Design of Visual Analysis Tool Based on Multiple Co-occurrence of Entities in Papers |
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| Abstract: | This paper discussed the concept of multiple co-occurrence and analyzed the differences between multiple co-occurrence and the general co-occurrence.Meanwhile it improved the Morris’ cross-mapping technology for the analysis of multiple co-occurrence.The authors developed a tool and designed a knowledge discovery method for a case study of institution-journal Key words multiple co-occurrence.In the case study,this paper found that the tool and the knowledge discovery method of multiple co-occurrence analysis can analyze the occurrence relationship among three entities in papers more effectively,and reveal more and deeper information than the general co-occurrence methods. |
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| Keywords: | Co-ccurrence Multiple co-occurrence Visual analysis tools Cross-map Knowledge discovery |
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