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Utilizing Electricity Consumption Data to Assess the Noise Discomfort Caused by Electrical Appliances between Neighbors: A Case Study of a Campus Apartment Building
Ryu, D.-H., Kim, R.-H., Choi, S.-H., Kim*, K.-J., Ko, Y. M., Kim, Y.-J., Song, M., & Choi, D. G. (2020). Utilizing Electricity Consumption Data to Assess the Noise Discomfort Caused by Electrical Appliances between Neighbors: A Case Study of a Campus Apartment Building. Sustainability, 12(20), 8704.
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A process perspective event-log analysis method for airport BHS (Baggage Handling System)(공항 수하물 처리 시스템 이벤트 로그의 프로세스 관점 분석 방안 연구)
Park, S.-N., & Song*, M. (2020). A process perspective event-log analysis method for airport BHS (Baggage Handling System)(공항 수하물 처리 시스템 이벤트 로그의 프로세스 관점 분석 방안 연구). The Korean Journal of BigData, 5(1), 181–188.
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44
Predicting performances in business processes using deep neural networks
Park, G., & Song*, M. (2020). Predicting performances in business processes using deep neural networks. Decision Support Systems, 129, 113191.
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Process Mining-Supported Emergency Room Process Performance Indicators
Cho, M., Song*, M., Park, J., Yeom, S.-R., Wang, I.-J., & Choi, B.-K. (2020). Process Mining-Supported Emergency Room Process Performance Indicators. International Journal of Environmental Research and Public Health, 17(17), 6290.
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42
Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears
Cho, M., Kim, K., Lim, J., Baek, H., Kim, S., Hwang, H., Song*, M., & Yoo, S. (2020). Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears. International Journal of Medical Informatics, 133, 104015.
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InfoFlow: Mining Information Flow Based on User Community in Social Networking Services
Obregon, J., Song, M., & Jung, J.-Y. (2019). InfoFlow: Mining Information Flow Based on User Community in Social Networking Services. IEEE Access, 7, 48024–48036.
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Modelling the Intrusive Feelings of Advanced Driver Assistance Systems Based on Vehicle Activity Log Data: Case Study for the Lane Keeping Assistance System
Park, K., Kwahk, J., Han, S. H., Song, M., Choi, D. G., Jang, H., Kim, D., Won, Y. D., & Jeong, I. (2019). Modelling the Intrusive Feelings of Advanced Driver Assistance Systems Based on Vehicle Activity Log Data: Case Study for the Lane Keeping Assistance System. International Journal of Automotive Technology, 20, 455–463.
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An Evidence-Based Decision Support Framework for Clinician Medical Scheduling
Cho, M., Song*, M., Yoo, S., & Reijers, H. A. (2019). An Evidence-Based Decision Support Framework for Clinician Medical Scheduling. IEEE Access, 7, 15239–15249.
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Analysis of length of hospital stay using electronic health records: A statistical and data mining approach
Baek, H., Cho, M., Kim, S., Hwang, H., Song*, M., & Yoo, S. (2018). Analysis of length of hospital stay using electronic health records: A statistical and data mining approach. PLOS ONE, 13(4), 1–16.
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Measuring the intrusive feeling of a lane keeping assistance system(차선 유지 보조 시스템으로 인해 발생하는 이질감의 계측에 대한 연구)
Park, G., Kwak*, J., Han, S., Song, M., Choi, D. G., Jang, H., & Kim, D. (2018). Measuring the intrusive feeling of a lane keeping assistance system(차선 유지 보조 시스템으로 인해 발생하는 이질감의 계측에 대한 연구). Journal of the Ergonomics Society of Korea, 37(4), 459–472.
44Predicting performances in business processes using deep neural networksPark, G., & Song*, M. (2020). Predicting performances in business processes using deep neural networks. Decision Support Systems, 129, 113191.
