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http://dx.doi.org/10.7465/jkdi.2014.25.4.727

Analysis of employee's characteristic using data visualization  

Cho, Jang Sik (Department of Informational Statistics, Kyungsung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.4, 2014 , pp. 727-736 More about this Journal
Abstract
The fundamental concerns of this paper are to analyze the effects of some characteristics on the employment of new college graduated students in viewpoint of data visualization. We use individual and department characteristic data of K-university graduated students in 2010. We apply multiple correspondence analysis, decision tree analysis, association rules and social network analysis for data visualization. The results of the analysis are summarized as follows. First, an analysis of the determinants of employment shows that GPA, department category, age and number of majors, recruiting time affect the employment rate. Second, higher GPA and natural category of department positively affect the employment rate. Finally, low age, single major and early recruiting time also positively affect the employment rate.
Keywords
Association rule; data visualization; decision tree analysis; multiple corresponding analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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