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Faculty
Song, Minseok
RESEARCH AREA
Business Analytics, Data/Process Mining, Information System ApplicationsKey Publications and Projects
- J. Lim and M. Song, “A framework for understanding event abstraction problem solving: Current states of event abstraction studies,” Data & Knowledge Engineering, vol. 154, p. 102352, 2024. doi: 10.1016/j.datak.2024.102352.
- H. Ryu, D. Lee, J. Shin, M. Song , S. Lee, H. Kim, and B.-I. Kim, “A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization,” International Journal of Hydrogen Energy, vol. 48, no. 93, pp. 36223–36239
- J. Lim, K. Kim, M. Song, S. Yoo, H. Baek, S. Kim, S. Park, and W.-J. Jeong, “Assessment of the feasibility of developing a clinical pathway using a clinical order log,” Journal of Biomedical Informatics, vol. 128, p. 104038, 2022. doi: 10.1016/j.jbi.2022.
- G. Park and M. Song, “Predicting performances in business processes using deep neural networks,” Decision Support Systems, vol. 129, p. 113191, 2020. doi: 10.1016/j.dss.2019.113191.
- M. Cho, M. Song, M. Comuzzi, and S. Yoo, “Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques,” Decision Support Systems, vol. 104, pp. 92–103, 2017. doi: 10.1016/j.dss.2017.