Visual Exploration of a Series of Academic Conferences

Kazuo Misue
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引用次数: 3

Abstract

The trends in a research field, especially changes in the features over the years, are subjects of interest for many researchers. This paper reports an exploratory analysis of the changes of research topics in an academic field. The target data of the analysis are the author-keywords included in papers presented at a series of academic conferences, IEEE International Conference on Data Mining (ICDM). The analysis process consists of three phases: (1) frequency of keywords, (2) appearance of keywords in papers, and (3) relationships among keywords. In phase 1, bar charts were used to observe the ranking of frequencies. In phases 2 and 3, anchored maps were adopted. The anchored maps are based on the spring-embedder model, but they provide viewpoints by using fixed "anchors." The analysis process revealed the major topics in the field of data mining and some changes in the relationships among topics.
一系列学术会议的视觉探索
一个研究领域的趋势,特别是多年来特征的变化,是许多研究人员感兴趣的主题。本文对一个学术领域的研究课题变化进行了探索性分析。分析的目标数据是在一系列学术会议,IEEE国际数据挖掘会议(ICDM)上发表的论文中包含的作者关键词。分析过程包括三个阶段:(1)关键词出现频率,(2)关键词在论文中的出现情况,(3)关键词之间的关系。在第一阶段,使用柱状图来观察频率的排序。在第二阶段和第三阶段,采用锚定图。锚定的地图基于弹簧嵌入器模型,但它们通过使用固定的“锚”提供视点。分析过程揭示了数据挖掘领域的主要主题以及主题之间关系的一些变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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