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http://dx.doi.org/10.15207/JKCS.2018.9.5.021

Analysis of Vocational Training Needs Using Big Data Technique  

Sung, Bo-Kyoung (Dept. Of Smart Convergence Consulting, Hansung University)
You, Yen-Yoo (Division Of Smart Management Engineering, Hansung University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.5, 2018 , pp. 21-26 More about this Journal
Abstract
In this study, HRD-NET (http://hrd.go.kr), a vocational and training integrated computer network operated by the Ministry of Employment and Labor, is used to confirm whether job training information required by job seekers is being provided smoothly The question bulletin board was extracted using 'R' program which is optimized for big data technique. Therefore, the effectiveness, appropriateness, visualization, frequency analysis and association analysis of the vocational training system were conducted through this, The results of the study are as follows. First, the issue of vocational training card, video viewing, certificate issue, registration error, Second, management and processing procedures of learning cards for tomorrow 's learning cards are complicated and difficult. In addition, it was analyzed that the training cost system and the refund structure differentiated according to the training occupation, the process, and the training institution in the course of the training. Based on this paper, we will study not only the training system of the Ministry of Employment and Labor but also the improvement of the various training computer system of the government department through the analysis of big data.
Keywords
Convergence; Vocational Training; HRD-NET; Job seeker; Unemployed Education; Text Mining;
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Times Cited By KSCI : 4  (Citation Analysis)
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