@article{ART003266153},
author={Hyoungrae Kim and Jongdeok Lim and Jeongrae Kim},
title={Discovering Youth Job Search Bundles Using Association Rule Mining},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={11},
pages={319-327}
TY - JOUR
AU - Hyoungrae Kim
AU - Jongdeok Lim
AU - Jeongrae Kim
TI - Discovering Youth Job Search Bundles Using Association Rule Mining
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 11
PB - The Korean Society Of Computer And Information
SP - 319
EP - 327
SN - 1598-849X
AB - Given the persistent challenges of youth unemployment and skills mismatch, a granular understanding of how young job seekers actually prepare for the labor market is critical for policy intervention. While most research on this topic examines the effectiveness of individual activities, understanding the combinations of these activities as strategic 'patterns' is crucial for developing effective employment policies. For this purpose, this study utilizes youth panel data, employing association rule mining (ARM) and logistic regression. The analysis reveals that job search patterns are distinctly differentiated by sociodemographic characteristics such as gender, educational attainment, and region. For instance, a strong association was found between {female residents in the metropolitan area} and {preparing for official English tests} (Lift=1.282). Furthermore, residents in the metropolitan area tended to focus on preparing for practical, job-related certifications. This suggests that youth job search activities are not uniform but are the result of strategic choices based on an individual's socio-structural position. These findings highlight the need for customized support policies tailored to the specific characteristics of different groups.
KW - Youth job seekers;Job preparation;Association rule mining;Panel data;;Competency preparation activities;Job search effort activities;Customized employment support
DO -
UR -
ER -
Hyoungrae Kim, Jongdeok Lim and Jeongrae Kim. (2025). Discovering Youth Job Search Bundles Using Association Rule Mining. Journal of The Korea Society of Computer and Information, 30(11), 319-327.
Hyoungrae Kim, Jongdeok Lim and Jeongrae Kim. 2025, "Discovering Youth Job Search Bundles Using Association Rule Mining", Journal of The Korea Society of Computer and Information, vol.30, no.11 pp.319-327.
Hyoungrae Kim, Jongdeok Lim, Jeongrae Kim "Discovering Youth Job Search Bundles Using Association Rule Mining" Journal of The Korea Society of Computer and Information 30.11 pp.319-327 (2025) : 319.
Hyoungrae Kim, Jongdeok Lim, Jeongrae Kim. Discovering Youth Job Search Bundles Using Association Rule Mining. 2025; 30(11), 319-327.
Hyoungrae Kim, Jongdeok Lim and Jeongrae Kim. "Discovering Youth Job Search Bundles Using Association Rule Mining" Journal of The Korea Society of Computer and Information 30, no.11 (2025) : 319-327.
Hyoungrae Kim; Jongdeok Lim; Jeongrae Kim. Discovering Youth Job Search Bundles Using Association Rule Mining. Journal of The Korea Society of Computer and Information, 30(11), 319-327.
Hyoungrae Kim; Jongdeok Lim; Jeongrae Kim. Discovering Youth Job Search Bundles Using Association Rule Mining. Journal of The Korea Society of Computer and Information. 2025; 30(11) 319-327.
Hyoungrae Kim, Jongdeok Lim, Jeongrae Kim. Discovering Youth Job Search Bundles Using Association Rule Mining. 2025; 30(11), 319-327.
Hyoungrae Kim, Jongdeok Lim and Jeongrae Kim. "Discovering Youth Job Search Bundles Using Association Rule Mining" Journal of The Korea Society of Computer and Information 30, no.11 (2025) : 319-327.
