Title :
Visual Exploration of a Series of Academic Conferences
Author_Institution :
Fac. of Eng., Inf. & Syst., Univ. of Tsukuba, Tsukuba, Japan
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.
Keywords :
data mining; educational computing; ICDM; IEEE International Conference on Data Mining; academic conferences; academic field; anchored maps; author-keywords; bar charts; data mining; exploratory analysis; fixed-anchors; frequency ranking; keyword appearance; keyword frequency; keyword relationships; research topics; spring-embedder model; target data analysis; visual exploration; Bipartite graph; Conferences; Data mining; Data visualization; Image color analysis; Time series analysis; Visualization; academic conferences; graph drawing; information visualization; visual exploration;
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
DOI :
10.1109/ICDMW.2014.73