Journal Articles

Showing 67 of 67 articles.

2026
  • Automatic Generation of Open Data-Based Traffic Simulation ModelRyu, H., Lim, J., & Song*, M. · IEEE Access, 14, 19852–19861
  • Comprehensive Framework for Identifying and Visualizing Key Yield Factors in Semiconductor ManufacturingDoh, G., Seo, J., Oh, S., & Song*, M. · IEEE Transactions on Semiconductor Manufacturing
  • MedProSim: A Process Mining-Based Simulation Tool for Identifying the Causes of Waiting Times in Outpatient DepartmentsLim, J., Park, K., Song*, M., & Lee, M. Y. · IEEE Access, 14, 41456–41468
  • Process Mining in the Era of Smart Manufacturing: Applications, Limitations, and OpportunitiesSong*, M., Jung, J. · In Mining a Scientist's Process: Essays Dedicated to Wil van der Aalst on the Occasion of His 60th Birthday, Springer Nature Switzerland, Cham, 741–753
  • An Optimized Backbone-based Process Layout Generation Method using Integer Programming and Heuristics to Enhance User ComprehensionLee, D., Song*, M., & van der Aalst, W. M. P. · Data & Knowledge Engineering, 164, 102601
  • How to Generate Research Impact: A Framework and Checklist for Impact-Aware Information Systems Researchvom Brocke, J., Bergener, K., Stein, A., Franzoi, S., Becker, J., Grisold, T., Hein, A., Król, D., Ramos, I., Rosemann, M., Song, M., & Winter, R. · Communications of the Association for Information Systems (in press)
2024
  • A framework for understanding event abstraction problem solving: Current states of event abstraction studiesLim, J., & Song*, M. · Data & Knowledge Engineering, 154, 102352
  • Site and capacity selection for on-site production facilities in a nationwide hydrogen supply chain deployment planLee, S., Kim, H., Kim, B.-I., Song*, M., Lee, D., & Ryu, H. · International Journal of Hydrogen Energy, 50, 968–987
2023
  • A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimizationRyu, H., Lee, D., Shin, J., Song*, M., Lee, S., Kim, H., & Kim, B.-I. · International Journal of Hydrogen Energy, 48(93), 36223–36239
  • Exploring the potential of OMOP common data model for process mining in healthcarePark, K., Cho, M., Song*, M., Yoo*, S., Baek, H., Kim, S., & Kim, K. · PLOS ONE, 18(1), 1–24
  • Optimizing Resource Allocation Based on Predictive Process MonitoringPark, G., & Song*, M. · IEEE ACCESS
2022
  • Ridesourcing in manufacturing sites: a framework and case studyPark, K., Lim, J., Hwang, W., Park, J., Song*, M., Kim, B.-I., Park, J. G., & Choi, D. J. · International Journal of Industrial Engineering: Theory, Applications and Practice, 29(5)
  • Assessment of the feasibility of developing a clinical pathway using a clinical order logLim, J., Kim, K., Song*, M., Yoo*, S., Baek, H., Kim, S., Park, S., & Jeong, W.-J. · Journal of Biomedical Informatics, 128, 104038
  • Collection and Analysis of Electricity Consumption Data in POSTECH Campus (포스텍 캠퍼스의 전력 사용 데이터 수집 및 분석)Ryu, D.-H., Kim*, K.-J., Ko, Y. M., Kim, Y.-J., & Song, M. · Journal of Korean Society for Quality Management(품질경영학회지), 50(3), 617–634
  • Optimization of Hydrogen Refueling Stations Deployment and Supply Chain Networks: Current Status and Research Suggestions (수소자동차 충전소 및 공급망 배치 최적화: 현황 및 연구 제언)Ryu, H., Kim, B.-I., Song, M., Kim, H., Lee, D., Lee, S., Shin, J., Yoo, Y.-D., Kim, S. H., & Lee, H. · Journal of the Korean Institute of Industrial Engineers (대한산업공학회지), 48(2), 211–226
  • Pass2vec: Analyzing soccer players’ passing style using deep learningCho, H., Ryu, H., & Song*, M. · International Journal of Sports Science & Coaching, 17(2), 355–365
  • Process mining for healthcare: Characteristics and challengesMunoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E., Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D., Amantea, I. A., Andrews, R., Arias, M., Beerepoot, I., Benevento, E., Burattin, A., Capurro, D., Carmona, J., Comuzzi, M., … Zerbato, F. · Journal of Biomedical Informatics, 127, 103994
2021
  • Seven Paradoxes of Business Process Management in a Hyper-Connected WorldBeverungen*, D., Buijs, J. C. A. M., Becker, J., Ciccio, C. D., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., Matzner, M., Mendling, J., Ogonek, N., Post, T., Resinas, M., Revoredo, K., del-Río-Ortega, A., Rosa, M. L., Santoro, F. M., … Wolf, V. · Business & Information Systems Engineering, 63, 145–156
  • Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor ManufacturingCho, M., Park, G., Song*, M., Lee, J., Lee, B., & Kum, E. · IEEE Transactions on Semiconductor Manufacturing, 34(1), 17–24
  • Quality-Aware Resource Model DiscoveryCho, M., Park, G., Song*, M., Lee, J., & Kum, E. · Applied Sciences, 11(12), 5730
  • MEXchange: A Privacy-preserving Blockchain-based Framework for Health Information Exchange using Ring Signature and Stealth AddressLee, D., & Song*, M. · IEEE Access, 9, 158122–158139
2020
  • Utilizing Electricity Consumption Data to Assess the Noise Discomfort Caused by Electrical Appliances between Neighbors: A Case Study of a Campus Apartment BuildingRyu, D.-H., Kim, R.-H., Choi, S.-H., Kim*, K.-J., Ko, Y. M., Kim, Y.-J., Song, M., & Choi, D. G. · Sustainability, 12(20), 8704
  • 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. · The Korean Journal of BigData, 5(1), 181–188
  • Predicting performances in business processes using deep neural networksPark, G., & Song*, M. · Decision Support Systems, 129, 113191
  • Process Mining-Supported Emergency Room Process Performance IndicatorsCho, M., Song*, M., Park, J., Yeom, S.-R., Wang, I.-J., & Choi, B.-K. · International Journal of Environmental Research and Public Health, 17(17), 6290
  • Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tearsCho, M., Kim, K., Lim, J., Baek, H., Kim, S., Hwang, H., Song*, M., & Yoo, S. · International Journal of Medical Informatics, 133, 104015
2019
  • InfoFlow: Mining Information Flow Based on User Community in Social Networking ServicesObregon, J., Song, M., & Jung, J.-Y. · IEEE Access, 7, 48024–48036
  • Modelling the Intrusive Feelings of Advanced Driver Assistance Systems Based on Vehicle Activity Log Data: Case Study for the Lane Keeping Assistance SystemPark, K., Kwahk, J., Han, S. H., Song, M., Choi, D. G., Jang, H., Kim, D., Won, Y. D., & Jeong, I. · International Journal of Automotive Technology, 20, 455–463
  • An Evidence-Based Decision Support Framework for Clinician Medical SchedulingCho, M., Song*, M., Yoo, S., & Reijers, H. A. · IEEE Access, 7, 15239–15249
2018
  • Analysis of length of hospital stay using electronic health records: A statistical and data mining approachBaek, H., Cho, M., Kim, S., Hwang, H., Song*, M., & Yoo, S. · PLOS ONE, 13(4), 1–16
  • 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. · Journal of the Ergonomics Society of Korea, 37(4), 459–472
2017
  • Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniquesCho, M., Song*, M., Comuzzi, M., & Yoo, S. · Decision Support Systems, 104, 92–103
  • A development on a predictive model for buying unemployment insurance program based on public data(공공데이터 기반 고용보험 가입 예측 모델 개발 연구)Cho, M., Kim, D., Song*, M., Kim, G., Jung, C., & Kim, K. · Korean Journal of BigData, 2(2), 17–31
2016
  • Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospitalYoo, S., Cho, M., Kim, E., Kim, S., Sim, Y., Yoo, D., Hwang, H., & Song*, M. · International Journal of Medical Informatics, 88, 34–43
  • Big data cloud service for manufacturing process analysisLee, Y., Song*, M., Ha, S., Baek, T., & Son, S. · Korean Journal of BigData, 1(1), 41–51
  • Process analysis in supply chain management with process mining: A case studyLee, Y., Yi, H., Song*, M., Lee, S., & Park, S. · Korean Journal of BigData, 1(2), 65–78
  • Domain-driven actionable process model discoveryYahya, B. N., Song*, M., Bae, H., Sul, S.-ook, & Wu, J.-Z. · Computers & Industrial Engineering, 99, 382–400
2015
  • A systematic methodology for outpatient process analysis based on process miningCho, M., Song*, M., & Yoo, S. · International Journal of Industrial Engineering, 22(4), 480–493
  • A business process simulation framework incorporating the effects of organizational structureLee, J., Sung, S., Song, M., & Choi*, I. · International Journal of Industrial Engineering, 22(4), 454–466
  • Analyzing repair processes using process mining: A case studyYang, H., & Song*, M. · Journal of the Korean Institute of Industrial Engineers, 41(1), 86–96
  • Conformance Analysis of Clinical Pathway Using Electronic Health Record DataYoo*, S., Cho, M., Kim, S., Kim, E., Park, S. M., Kim, K., Hwang, H., & Song, M. · Health Informatics Research, 21(3), 161–166
  • Bayesian network construction from event log for lateness analysis in port logisticsSutrisnowati, R. A., Bae*, H., & Song, M. · Computers & Industrial Engineering, 89, 53–66
2013
  • Discovery of out-patient care process of a tertiary university hospital using process miningKim, E., Kim, S., Song, M., Kim, S., Yoo, D., Hwang, H., & Yoo*, S. · Health Informatics Research, 19(1), 42–49
  • A comparative study of dimensionality reduction techniques to enhance trace clustering performancesSong*, M., Yang, H., Siadat, S. H., & Pechenizkiy, M. · Expert Systems with Applications, 40(9), 3722–3737
  • Conceptual framework for container-handling process analyticsJeon, D., Yahya, B. N., Bae*, H., Song, M., Sul, S.-ook, & Sutrisnowati, R. A. · ICIC Express Letters, 7(6), 1919–1924
2012
  • Understanding requirement engineering for context-aware system-based applicationsSiadat, S. H., & Song*, M. · Journal of Software Engineering and Applications, 5(8), 536–544
  • Process improvement for PDM/PLM systems by using process miningLee, S., Ryu*, K., & Song, M. · Korean CAD/CAM Journal, 17, 294–302
2011
  • Time prediction based on process miningvan der Aalst*, W. M. P., Schonenberg, M. H., & Song, M. · Information Systems, 36(2), 450–475
2010
  • Social Software for Business Process ModelingKoschmider*, A., Song, M., & Reijers, H. A. · Journal of Information Technology, 25(3), 308–322
2009
  • Analysis of a Collaborative Workflow Process with Distributed ActorsReijers*, H. A., Song, M., & Jung, B. · Information Systems Frontiers, 11, 307–322
  • Discovering Simulation ModelsRozinat*, A., Mans, R. S., Song, M., & van der Aalst, W. M. P. · Information Systems, 34(3), 305–327
  • Two-stage process analysis using the process-based performance measurement framework and business process simulationHan*, K. H., Kang, J. G., & Song, M. · Expert Systems with Applications, 36(3, Part 2), 7080–7086
2008
  • Propagation of engineering changes to multiple product data views using history of product structure changesDo, N., Choi*, I., & Song, M. · International Journal of Computer Integrated Manufacturing, 21(1), 19–32
  • Improving process mining with trace clusteringSong*, M., Günther, C. W., van der Aalst, W. M. P., & Jung, J. · Journal of the Korean Institute of Industrial Engineers, 34(4), 460–469
  • Towards Comprehensive Support for Organizational MiningSong*, M., & van der Aalst, W. M. P. · Decision Support Systems, 46(1), 300–317
  • Discovering colored Petri nets from event logsRozinat*, A., Mans, R. S., Song, M., & van der Aalst, W. M. P. · International Journal on Software Tools for Technology Transfer Volume, 10(1), 57–74
2007
  • Analysis of social relations among organizational units derived from process models and redesign of organization structureChoi*, I., Song, M., Kim, K., & Lee, Y. · Journal of the Korean Institute of Industrial Engineers, 33(1), 11–25
  • Business Process Mining: An Industrial ApplicationAalst*, W. M. P. van der, Reijers, H. A., Weijters, A. J. M. M., van Dongen, B. F., Medeiros, A. K. A. de, Song, M., & Verbeek, H. M. W. · Information Systems, 32(5), 713–732
  • An integration architecture for knowledge management systems and business process management systemsJung, J., Choi*, I., & Song, M. · Computers in Industry, 58(1), 21–34
2006
  • Development process and data management of TurnSTEP: a STEP-compliant CNC system for turningChoi*, I., Suh, S.-H., Kim, K., Song, M., Jang, M., & Lee, B.-E. · International Journal of Computer Integrated Manufacturing, 19(6), 546–558
2005
  • A framework for integration of knowledge management and business process managementJung, J., Song, M., & Choi*, I. · IE Interfaces, 18(1), 52–62
  • Discovering Social Networks from Event LogsAalst*, W. M. P. van der, Reijers, H. A., & Song, M. · Computer Supported Cooperative Work, 14(6), 549–593
  • IPM-EPDL: an XML-based executable process definition languageChoi*, I., Jeong, H., Song, M., & Ryu, Y. U. · Computers in Industry, 56(1), 85–104
2004
  • The study on a cooperative education system for logistics: the case study of international program in logistics Management systems in Technology University of EindhovenSong*, M., Jung, J., Choi, I., & Cha, J. · Journal of the Korean Society of Supply Chain Management, 4(1), 11–22
  • An integrated framework for process knowledge managementChoi*, I., Jung, J., & Song, M. · International Journal of Innovation and Learning, 1(4), 399–408
2003
  • Integrated Process Management: A new paradigm for the management of business processesChoi*, I., Song, M., & Park, C. · Journal of Korea Information Science Society, 21(10), 36–44
  • An XML-based process definition language for integrated process managementChoi*, I., Song, M., Park, C., & Park, N. · Computers in Industry, 50(1), 85–102

PDFs linked here are author copies, posted under each publisher's author-rights policy and provided for personal and classroom use only; copyright remains with the respective publishers. Articles in the Communications of the Association for Information Systems are © the Association for Information Systems and may not be used for profit — see the journal at aisel.aisnet.org/cais.