Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm

机译：用制服图挖掘算法分析科学图的时间演化

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Scientograms are a kind of graph representations depicting the state of Science in a specific domain. The automatic comparison and analysis of a set of scientograms, to show for instance the evolution of a scientific domain of a given country, is an interesting but challenging task as the handled data is huge and complex. In this paper, we aim to show that graph mining tools are useful to deal with scientogram analysis. We have chosen Subdue, a well-known graph mining algorithm, as a first approach for this purpose. Its operation mode has been customized for the study of the evolution of a scientific domain over time. Our case study clearly shows the potential of graph mining tools in scientogram analysis and it opens the door for a large number of future developments.

机译：科学图是一种图形表示形式，用于描述特定领域中的科学状态。一组科学图的自动比较和分析，例如显示给定国家的科学领域的发展，是一项有趣但具有挑战性的任务，因为处理的数据量庞大而复杂。在本文中，我们旨在证明图挖掘工具对于处理科学图分析很有用。为此，我们选择了Subdue（一种著名的图形挖掘算法）作为第一种方法。它的运行模式已针对研究科学领域随时间推移的发展而定制。我们的案例研究清楚地表明了图挖掘工具在科学图分析中的潜力，并为大量未来的发展打开了大门。

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来源
《Computational intelligence for knowledge-based systems design》|2010年|p.310-319|共10页
会议地点 Dortmund(DE);Dortmund(DE)
作者
Arnaud Quirin; Oscar Cordon; Prakash Shelokar; Carmen Zarco;
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作者单位

European Centre for Soft Computing,Edf. Cientifico Tecnologico, 33600 Mieres, Spain;

European Centre for Soft Computing,Edf. Cientifico Tecnologico, 33600 Mieres, Spain;

European Centre for Soft Computing,Edf. Cientifico Tecnologico, 33600 Mieres, Spain;

European Centre for Soft Computing,Edf. Cientifico Tecnologico, 33600 Mieres, Spain;

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正文语种 eng
中图分类信息处理（信息加工）;
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1. Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms [J] . Arnaud Quirin, rnOscar Cordon, rnBenjamin Vargas-Quesada, Journal of informetrics . 2010,第3期

机译：基于图的数据挖掘：一种用于分析和比较以科学图表示的科学领域的新工具
2. MOSubdue: a Pareto dominance-based multiobjective Subdue algorithm for frequent subgraph mining [J] . Prakash Shelokar, Arnaud Quirin, Oscar Cordon Knowledge and information systems . 2013,第1期

机译：MOSubdue：基于Pareto优势的多目标Subdue算法，用于频繁的子图挖掘
3. Sentiment Analysis Using Machine Learning Algorithms and Text Mining to Detect Symptoms of Mental Difficulties Over Social Media [J] . Hadj Ahmed Bouarara International journal of information systems and social change . 2021,第2期

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4. Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm [C] . Arnaud Quirin, Oscar Cordon, Prakash Shelokar, International Conference on Information Processing and Management of Uncertainty . 2010

机译：使用Subdue GraphIn挖掘算法分析科学图的时间演化
5. Collecting, Mining and Analyzing University-Related Tweets Using Sentiment Analysis Based on Machine Learning Algorithms [D] . Albashaireh, Rasha Zeid. 2020

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7. MOSubdue: A Pareto Dominance-based Multiobjective Subdue Algorithm For Frequent Subgraph Mining [O] . P. Shelokar et al. 2015

机译：mOsubdue：基于pareto Dominance的多目标子算法用于频繁子图挖掘

Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm

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