Conference Papers

Showing 126 of 126 papers.

2025
  • Main Object-Based Simplification of Object-Centric Process Models for SimulationKang, S., Doh, G. G., & Song, M. · In Winter Simulation Conference (WSC), USA, December 7
  • A Multi-Agent Collaborative Framework for Automating Event Log Extraction in Process MiningKina, Park, K., Lee, D., & Song, M. · In Korean Big Data Society Fall Conference (Big Data AI Forum), Korea, November 21
  • Automatic Generation of Process Improvement Scenarios Using LLM Agents and XAI-Based Feature ImportanceNam, H., Park, K., & Song, M. · In Korean Institute of Industrial Engineers (KIIE) Fall Conference, Korea, November 7
  • Hospital Process Improvement Using the ASTR Framework: A Tool-Based ApproachPark, K., Song, M., & Lee, M. · In Korean Institute of Industrial Engineers (KIIE) Fall Conference, Korea, November 7
  • Development and Utilization of a Long-Term Urban Shrinking Transition Model Using Process Mining: Cases of Japan and KoreaRyu, H., & Song, M. · In Korean Institute of Industrial Engineers (KIIE) Fall Conference, Korea, November 6
  • Development and Application of the Urban Transformation Process Model for Shrinking Cities: A Process Mining ApproachRyu, H., & Song, M. · In International Conference of Asia-Pacific Planning Societies (ICAPPS), Taiwan, August 21
  • Semiconductor Manufacturing Process Analysis and Visualization: Focusing on Process Attributes with Critical Effect on Yield (반도체 제조 공정 분석 및 시각화: 수율에 주요 영향을 미치는 공정 속성을 중심으로)Doh, G., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Jeju, Korea, June 18
  • A Multi-hop Question Answering Dataset for Visually-Rich Medical DocumentsPark, J., Kim, J., Pyeon, S., Han, S., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Jeju, Korea, June 19
  • A Framework for Automated Extraction of Event Logs for Process MiningPark, K., Lee, D., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Jeju, Korea, June 20
  • Multi-Aspect Instruction Fine-Tuning for Time Series LLMLee, S., Han, S., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Jeju, Korea, June 20
  • Layouting Object-Centric Directly Follows GraphsLee, D., Song*, M., & van der Aalst, W. M. P. · Lecture Notes in Business Information Processing, 204–220
2024
  • Navigating Event Abstraction in Process Mining: A Comprehensive Analysis of Sub-problems, Data, and Process Characteristic ConsiderationsLim, J., & Song*, M. · Lecture Notes in Business Information Processing, 174–185
  • Layout Algorithm for Object-Centric Process Models (객체 중심 프로세스 모델을 위한 레이아웃 알고리즘)Lee, D., & Song, M. · In Korean Institute of Industrial Engineers (KIIE) Fall Conference, Korea, October 25
  • Semiconductor Manufacturing Process Visualization: Focusing on Resource Groups with Significant Effect on YieldDoh, G., Song, M., Lee, D., Seo, J., & Shin, C. · In INFORMS Annual Meeting, USA, October 22
  • A Study on Data Analysis Methodology for Efficient Development of Clinical Pathways (효율적 표준진료지침 개발을 위한 데이터 분석 방법론 연구)Lim, J., Yoo, S., Kim, K., Kim, S., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Yeosu, Korea, May 3
  • Improving the Performance of Personalized Product Recommendation Models Reflecting Fashion Brand Characteristics (패션 브랜드 특성을 반영한 개인화 상품 추천 모델의 성능 향상)Bae, S., Koh, H., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Yeosu, Korea, May 3
  • Automatic Generation of Open Data-Based Traffic Simulation Models: Data Processing and Validation Using Real-World Data (공공데이터 기반 교통 시뮬레이션 모델 자동 생성: 실제 데이터를 활용한 데이터 처리 및 검증)Lim, J., Ryu, H., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Yeosu, Korea, May 3
  • Establishing and Validating Alternatives for Improving the Internal Patient Transport Process in Hospitals Through Simulation (시뮬레이션을 통한 병원 내 환자 이송 프로세스 개선 대안 수립 및 검증)Lee, H., Lim, J., Oh, S., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Yeosu, Korea, May 3
  • A Study on Personalized Outfit Recommendation Systems Using Transformers and Contrastive Learning (트랜스포머와 대조학습을 활용한 개인화 아웃핏 추천 시스템 연구)Kim, J., & Song, M. · In Proceedings of the Korean Institute of Industrial Engineers (KIIE), Yeosu, Korea, May 2
2022
  • Similar Situation Search using Strategy Videos in Soccer Games (전술분석용 축구 영상을 활용한 유사상황 추출 프레임워크)Jeong, M., Lee, D., & Song, M. · In Korean Institute of Industrial Engineers (대한산업공학회), Incheon, Korea, November 4-5
  • BPMN based Clinical Pathway Modeling using order log analysis (오더 이벤트 로그 분석을 통한 수술 표준진료지침의 BPMN 모델링 프레임워크)Jeong, M., Song, M., Kim, K., Yoo, S., Baek, H., & Kim, S. · In The Korean Society of Medical Informatics (대한의료정보학회), Jeonju, Korea, November 25 (Best Paper Award (우수연제상))
  • Customer journey analysis using process mining and prediction model (프로세스 마이닝과 예측모델을 활용한 고객여정 분석 및 도출)Park, K., Cho, M., Jang, Y., Chung, S., & Song, M. · In Korean Industrial Engineering and Management Science (대한산업공학회), Jeju, Korea, June 1
  • Data-driven Customer Journey Analysis using Process Mining and Machine LearningPark, K., Cho, M., Jang, Y., Chung, S., & Song, M. · In Asia Pacific Industrial Engineering and Management Systems Conference(APIEMS), Taichung, Taiwan, November 8
  • BPMN-based CP modeling considering existing CP models and repetition patternsLim, J., Park, K., Kim, K., Yoo, S., Baek, H., Kim, S., & Song, M. · In International Conference on Process Mining (ICPM), Bozen-Bolzano, Italy, September 30
  • Generating a Process Simulation Model in Steelmaking Process using Process MiningShin, J., Lee, D., Song, M., & Kim, J. · In Advances in Production Management System(APMS), Gyeongju, Korea, September 25
  • Development of a decision support system (DSS) for optimizing hydrogen vehicle charging stations and supply chain deployment (수소자동차 충전소 및 공급망 배치 최적화를 위한 의사결정지원시스템(DSS) 개발)Lee, D., Ryu, H., Shin, J., Lee, S., Kim, H., Kim, B., Song, M., Yoo, Y., Kim, S., Lee, H., & Hwang, H. · In Korean Industrial Engineering and Management Science (대한산업공학회), Jeju, Korea, June 1
  • Process Layout Improvement through graph division, node rank, and order change (그래프 분할 및 노드 랭크, 오더 변경을 통한 프로세스 레이아웃 개선 연구)Lee, D., Jang, Y., & Song, M. · In Korean Industrial Engineering and Management Science (대한산업공학회), Jeju, Korea, June 1
  • Concept drift in process mining using SGT embedding (SGT embedding을 활용한 프로세스 마이닝에서의 concept drift도출 연구)Jang, Y., Lim, J., & Song, M. · In Korean Industrial Engineering and Management Science (대한산업공학회), Jeju, Korea, June 1
  • Data Requirement Analysis for a Digital Twin Generation in Smart Traffic Control Systems (신호체계의 디지털 트윈 모델 생성을 위한 데이터 요구사항 조사)Hwang, W., Park, K., Lim, J., Lee, D., & Song, M. · In Korean Institute of Industrial Engineers (대한산업공학회), Incheon, Korea, November 4-5
  • Enhancement of fashion outfit data using Conditional BERT (Conditional BERT를 활용한 패션 아웃핏 데이터 증진)Park, J., Hwang, W., & Song, M. · In Korean Industrial Engineering and Management Science (대한산업공학회), Jeju, Korea, June 1
2021
  • Hydrogen Refueling Stations Deployment Plan for Hydrogen MobilityKim, H., Ryu, H., Eom, M., Shin, J., Lee, S., Lee, D., Kim, B., Song, M., Yu, Y., Kim, S., & Lee, H. · In KORMS/KIIE Conference, International Convention Center (대한산업공학회), Jeju, Korea, June 2-5
  • Blockchain-based Federated Development of Clinical PathwayLee, D., & Song, M. · In Korea Bigdata Society Conference, Seoul, Korea, October 29
  • Process Layout Improvement using Cross MinimizationJang, Y., Lee, D., Song, M., & Kim, S. · In KIIE Conference (대한산업공학회), Dongkuk University, Seoul, Korea, November 12
  • Similar Situations Search based on Coordinate Data of PlayersJeong, M., & Song, M. · In KIIE Conference (대한산업공학회), Dongkuk University, Seoul, Korea, November 12
  • Deployment Optimization of Off-site/On-site Hydrogen Refueling StationsKim, H., Kim, H., Lee, D., Shin, J., Kim, B., Song, M., Lee, S., Ryu, H., Kim, S., Yu, Y., & Lee, H. · In 2021 Fall Conference of the Korean Hydrogen & New Energy Society, Jeju, Korea
  • Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record DataLim, J., Kim, K., Cho, M., Baek, H., Kim, S., Hwang, H., Yoo, S., & Song, M. · Lecture Notes in Business Information Processing, 406 LNBIP, 356–367
  • Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record DataLim, J., Kim, K., Cho, M., Baek, H., Kim, S., Hwang, H., Yoo, S., & Song, M. · Lecture Notes in Business Information Processing, 406 LNBIP, 356–367
  • Football Strategy Analysis using Video DataJeong, M., & Song, M. · Workshop of the Korea BigData Society, Silla University, Busan, Korea, May 1
  • Off-site/on-site refueling station layout optimization for optimal hydrogen supply path designKim, H., Kim, H., Lee, D., Shin, J., Kim, B., Song, M., Lee, S., Ryu, H., Kim, S., Ryu, Y., & Lee, H. · In Korea Hydrogen and New Energy Society Fall Conference, Jeju, Korea, October 20-22
  • Optimizing Hydrogen Station Location for MobilityKim, H., Ryu, H., Eom, M., Shin, J., Lee, S., Lee, D., Kim, B., Song, M., Ryu, Y., Kim, S., & Lee, H. · In KORMS/KIIE Conference (대한산업공학회), International Convention Center, Jeju, Korea, June 2-5
  • Blockchain-based Health Information Exchange using Ring Signature & Stealth AddressLee, D., & Song, M. · In KORMS/KIIE Conference (대한산업공학회), International Convention Center, Jeju, Korea, June 2-5
  • Fashion Outfit Recommendation using Multi Bi-LSTM modelsHwang, W., Park, J., & Song, M. · In KORMS/KIIE Conference (대한산업공학회), International Convention Center, Jeju, Korea, June 2-5
2020
  • Household Assignment Considering Appliance Noise Discomfort between Neighbors and Housing Preference: A Case Study of a Campus Apartment BuildingRyu, D., Ko, Y., Kim, Y., Song, M., & Kim, K. · INFORMS Annual Meeting, Virtual, November 7-13
  • Collection and Analysis of Electricity Usage Data in University Campus: The Case of POSTECHRyu, D., Ko, Y., Kim, Y., Song, M., & Kim, K. · Proceedings of The 18th ANQ Congress 2020, Virtual October 22-23
  • Manufacturing Process Simulation using Event-logPark, S., & Song, M. · In Society for Computer Design and Engineering, Online Conference, Korea, August 17-18
  • Collection and Analysis of Electricity Consumption Data: The Case of POSTECH CampusRyu, D., Ko, Y., Kim, Y., Song, M., & Kim, K. · Proceedings of INFORMS Conference on Service Science, Virtual, December 19-21
2019
  • Data Analysis using Logistics Data Warehouse in Semiconductor ManufacturingPark, G., Cho, M., Song, M., & Lee, J. · In KORMS/KIIE Conference, Gwangju Kimdaejung Convention Center, Gwangju, Korea, April 10-13
  • Resource-constrained Project Scheduling Problem in a Real-world Heavy Industry CompanyNa, Y., Kim, B., Song, M., & Kim, J. · 2019 INFORMS Annual Meeting (Seattle, Washington, USA), October 20-23
  • Prediction-based resource allocation using LSTM and minimum cost and maximum flow algorithmPark, G., & Song, M. · Proceedings - 2019 International Conference on Process Mining, ICPM 2019, 121–128
  • Developing Process Performance Indicators for Emergency Room ProcessesCho, M., Song, M., Yeom, S.-R., Wang, I.-J., & Choi, B.-K. · Lecture Notes in Business Information Processing, 362 LNBIP, 520–531
  • An Application of Blockchain Technology in Healthcare IndustryLee, D., & Song, M. · In KORMS/KIIE Conference, Gwangju Kimdaejung Convention Center, Gwangju, Korea, April 10-13
  • CP Development Based on Patient Care Data Using Matching RateLim, J., Hwang, W., Cho, M., Song, M., Yoo, S., & Kim, G. · In KORMS/KIIE Conference, Gwangju Kimdaejung Convention Center, Gwangju, Korea, April 10-13
  • FSM based Feature Engineering in Purchase PredictionSeo, J., Kim, S., Song, M., Lee, H., & Park, Y. · In KORMS/KIIE Conference, Gwangju Kimdaejung Convention Center, Gwangju, Korea, April 10-13
  • Deriving CP using EHR(Electronic Health Records) DataCho, M., Lim, J., Song, M., Yoo, S., Kim, K., & Baek, H. · In The Korean Society of Medical Informatics, Korea University College of Medicine, Seoul, Korea, July 11-12
  • 캠퍼스 전력 사용 데이터 기반의 기숙사 호실 배정 서비스 컨셉 개발Kim, R., Ryu, D., Song, M., Choi, D., Ko, Y., Kim, Y., & Kim, K. · Proceedings of 2019 Fall Conference of Korean Institute of Industrial Engineers, Seoul, Korea, November 8
  • BHS(Baggage Handling System) Analysis using Process MiningPark, S., & Song, M. · In KORMS Conference, Korea Aerospace University, Seoul, Korea, October 25
  • Prediction of gas usages based on Machine LearningCho, H., Kim, D., You, D., Song, M., Choi, N., Yoon, C., & Park, J. · In KIIE Conference (대한산업공학회), Seoul National University, Seoul, Korea, November 8
2018
  • Introduction to the first international workshop on quality data for process analytics (QD-PA 2017)Wynn, M. T., Comuzzi, M., Song, M., & Wen, L. · Lecture Notes in Business Information Processing, 308, 569–572
  • Customer Requirement Analysis of Intelligent Services in IoT EnvironmentLee, M., Kwak, J., Han, S., Jeong, M. S. D., Cho, M., Kim, D., & Lee, D. · In Spring Conference of the Ergonomics Society of Korea, Jeju Phoenix Resort, Jeju, Korea, May 16-19
  • Deriving an Optimal Routing for Yield Enhancement in Semiconductor ManufacturingPark, G., Cho, M., Song, M., & Lee, J. · In KORMS/KIIE Conference, Gyeongju Hotel Hyundai, Gyeongju, Korea, April 04-07
  • Deriving CP Variations by Patient Characteristics using Medical Outcome AnalysisLim, J., Song, M., Cho, M., Yoo, S., Kim, K., Baek, H., & Kim, S. · In KORMS/KIIE Conference, Gyeongju Hotel Hyundai, Gyeongju, Korea, April 04-07
  • Healthcare processes supported by blockchain: a literature reviewLee, D., Gorvacheva, E., Song, M., Jung, S. Y., & Yoo, S. · International Conference on Asia Pacific Industrial Engineering & Management Systems(APIEMS) 2018
  • Critical Path Optimization for the Shipbuilding IndustryNa, Y., Kim, B., Song, M., & Kim, J. · 2018 APIEMS Conference(Hong Kong), December 5-8
2017
  • A new framework for defining realistic SLAs: An evidence-based approachCho, M., Song, M., Müller, C., Fernandez, P., del-Río-Ortega, A., Resinas, M., & Ruiz-Cortés, A. · Lecture Notes in Business Information Processing, 297, 19–35
  • Devising an SLA-Aware Methodology to Improve Process PerformanceMüller, C., Fernandez, P., Song, M., Resinas, M., & Ruiz-Cortés, A. · Jornadas De Ciencia e Ingeniería De Servicios, Spain, July 19-21
  • Suggesting Design Method for Performance Evaluation System Based on IoT Data: Considering UXJang, H., Kwahk, J., Han, S., Song, M., Choi, D., Park, K., Kim, D., Won, Y., & Jeong, I. · Proceedings of the Tenth International Conference on Advances in Computer-Human Interactions 2017
  • PrefaceSong, M., Wynn, M. T., & Liu, J. · Lecture Notes in Business Information Processing, 159, VI
  • Performance Indicators in LKASPark, K., Han, S., Kwak, J., Song, M., Choi, D., Jang, H., Kim, D., Won, Y., & Jeong, I. · Proceedings of Spring Conference of the Ergonomics Society of Korea, Jeju Kensington Resort, Jeju, Korea, April 27-30, 2017
  • A Review of Case Studies: Service Development by Utilizing Energy Usage DataRyu, D., Kim, K., Ko, Y., & Song, M. · Proceedings of 2017 Spring Conference of Korean Institute of Industrial Engineers, Yeosu, Korea, April 26-29, 2017
2016
  • Analysis and prediction cost of manufacturing process based on process miningTu, T. B. H., & Song, M. · ICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications
  • A Reference Model for Big Data Analysis in ShipbuildingLee, Y., & Song, M. · In KIIE Conference, Korea University, Seoul, Korea, November 19
  • An application of Process mining on Business Process Re-engineering: A case study?Yi, H., Cho, M., Kim, D., & Song, M. · . In KORMS/KIIE/ESK/KSIE/KSS Conference, International Convention Center, Jeju, Korea, April 13-16
  • Process Mining-driven Efficient Manufacturing Cost ManagementHong, T., & Song, M. · In KORMS/KIIE/ESK/KSIE/KSS Conference, International Convention Center, Jeju, Korea, April 13-16
  • Personal clinician scheduling using Discrete Event Simulation based on Process MiningCho, M., Song, M., & Yoo, S. · In KORMS/KIIE/ESK/KSIE/KSS Conference, International Convention Center, Jeju, Korea, April 13-16
2015
  • A Method for Developing Clinical Pathway using Event LogsCho, M., Song, M., & Yoo, S. · In KORMS/KIIE/ESK/KSIE/KSS Conference, Ramada Hotel, Jeju, Korea, April 8-11
  • Workload and delay analysis in manufacturing process using process miningPark, M., Song, M., Baek, T. H., Son, S. Y., Ha, S. J., & Cho, S. W. · Lecture Notes in Business Information Processing, 219, 138–151
2014
  • Process Improvement based on Best Practices and Social Network AnalysisYang, H., Hong, S., & Song, M. · In KORMS/KIIE Conference, Bexco, Busan, Korea, May 16-17
  • Production efficiency and process quality analysis for manufacturing process based on event logsYang, H., Yoon, Y., & Song, M. · In The Korean Society of Manufacturing Technology Engineers, Jeju KAL Hotel, Jeju, Korea, September 29-30
  • Analyzing service processes using process mining: A case studyYang, H., & Song, M. · The 15th Asia Pacific Industrial Engineering and Management Systems, Ramada Plaza Jeju Hotel, Jeju, Korea, October 12-15
  • Prediction for material usage using decision treePark, M., Song, M., & Kwon, D. · The 15th Asia Pacific Industrial Engineering and Management Systems, Ramada Plaza Jeju Hotel, Jeju, Korea, October 12-15
  • A Manufacturing Resource Analysis in Configurable Manufacturing Execution SystemsSon, S., Yahya, B., & Song, M. · International Symposium on Green Manufacturing and Applications, Paradise Hotel, Busan, Korea, June 24-28
  • A systematic methodology for outpatient process analysis based on process miningCho, M., Song, M., & Yoo, S. · Lecture Notes in Business Information Processing, 181 LNBIP, 31–42
  • A system architecture for manufacturing process analysis based on big data and process mining techniquesYang, H., Park, M., Cho, M., Song, M., & Kim, S. · Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, 1024–1029
  • Business Process Management Workshops: BPM 2013 international workshops Beijing, China, August 26, 2013 revised papersLohmann, N., Song, M., & Wohed, P. · Lecture Notes in Business Information Processing, 171 171 LNBIP
  • Delta analysis for organizational environment using process mining: A case studyShim, Y., Cho, M., Song, M., & Yoo, S. · In KORMS/KIIE Conference, Bexco, Busan, Korea, May 16-17
2013
  • Developing a simulation model for manufacturing process using process miningSon, S., Song, M., Cho, Y., Cho, H., & Yahya, B. · In The Korean Society of Manufacturing Technology Engineers, Bexco, Busan, Korea, April 25-26
  • Payment Process Analysis Based on Process MiningCho, M., Song, M., & Yoo, S. · In the Korea Intelligent Information System Society Conference, Sogang University, Seoul, Korea, June 1
  • Simulation of Optimal Number of Outpatient Payment KIOSK Estimation Using Process MiningKim, E., Kim, S., Cho, M., Song, M., & Yoo, S. · In The Korean Society of Medical Informatics, Asan Hospital, Seoul, Korea, June 13-14
  • Business performance analysis using process miningHong, S., Yang, H., Kim, S., & Song, M. · In KIIE Conference, Sungkyunkwan University, Seoul, Korea, November 15
  • Analysis of Manufacturing Processes with Process Mining in Configurable Manufacturing Execution systemsSong, M., Yahya, B. N., Cho, H. J., Cho, Y. J., & and K-Y. Ryu. · Proceedings on the 2013 International Symposium on Green Manufacturing and Applications, Hawaii, USA, June 25-29
  • A Study of a Production Service Framework based on the Manufacturing Execution SystemJo, H., Cho, Y., Noh, S., Ryu, K., & Song, M. · 17th International Conference on Industrial Engineering Theory, Applications and Practice, Pusan National University, Busan, Korea, October 6-9
  • Optimal resource assignment in workflows for maximizing cooperationKumar, A., Dijkman, R., & Song, M. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8094 LNCS, 235–250
  • Development of manufacturing process analysis tool for c-MESLee, Y., Yahya, B. N., Cho, H., Cho, Y., Ryu, K., & Song, M. · In the Korean Society for Precision Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, October 24-26
  • Process Model Based Function Recommendation to Support Design of Configurable Manufacturing Support SystemsLee, H., Ryu, K., Song, M., Cho, Y., & Cho, H. · In the Korean Society of CAD/CAM Engineers Conference, Phoenix Park, Kangwon, Korea, January 30 - February 1
  • Healthcare Process Simulation Based on Process MiningCho, M., Song, M., & Yoo, S. · In KORMS/KIIE Conference, The Ocean Resort, Yeosu, Korea, May 24-25
2012
  • Trace clustering with Dimensionality Reduction TechniquesYang, H., & Song, M. · In KORMS/KIIE Conference, Hyndai Hotel, Gyeongju, Korea, May 10-11
  • Process mining manifestoVan Der Aalst, W., Adriansyah, A., De Medeiros, A. K. A., Arcieri, F., Baier, T., Blickle, T., Bose, J. C., Van Den Brand, P., Brandtjen, R., Buijs, J., Burattin, A., Carmona, J., Castellanos, M., Claes, J., Cook, J., Costantini, N., Curbera, F., Damiani, E., De Leoni, M., … Wynn, M. · Lecture Notes in Business Information Processing, 99 LNBIP(PART 1), 169–194
  • ECM (Enterprise Content Management) System Analysis Using Process MiningLee, Y., Kim, S., & Song, M. · In the Korean BI Data Mining Conference, Bexco, Busan, Korea, November 30 - December 1
  • Port Logistics Data Analysis using Process MiningYahya, B. N., Song, M., Bae, H., Jeon, D., Sul, S., & Asriana, R. · In KORMS/KIIE Co-Conference, Seoul National University of Science and Technology, Seoul, Korea, November 1
  • Hospital Data Analysis using Process MiningSong, M., Lee, Y., Park, M., Kim, S., & Yoo, S. · In KORMS/KIIE Co-Conference, Seoul National University of Science and Technology, Seoul, Korea, November 1
  • Trade Exhibition Data Analysis Using Process MiningSon, S., Moon, H., Kim, J., & Song, M. · In KIIE Conference, Hanyang University ERICA Campus, Kyunggi, Korea, November 2
  • Progress of Production Data Analysis using Process MiningSong, M., Jung, I., Cho, Y., & Cho, H. · In KORMS/KIIE Conference, Hyndai Hotel, Gyeongju, Korea, May 10-11
  • A method for gathering logs from c-MESSong, M., Son, S., Ryu, K., Lee, S., Cho, Y., & Cho, H. · In the Korean Society of CAD/CAM Engineers Conference, Phoenixpark Convention Center, Pyungchang, Korea, February 1-3
2011
  • Manufacturing process analysis with process mining in c-MESSong, M., Kim, D., Ryu, K., Cho, Y., & Cho, H. · In the Korean Manufacturing System Conference, Daejeon, Korea, October 13-15
  • Study on the Function of Manufacturing Process Monitoring in c-MESSong, M., Kim, D., Ryu, K., Kim, S., Cho, Y., & Cho, H. · In the Korean Society of Industrial Information Systems, Gyeongju, Korea, October 26-28
  • A Structural Matching Approach to Managing Large Business Process ModelsWoo, H.-G., & Song, M. · Proceedings on 41th International Conference on Computers & Industrial Engineering, University of South California, Los Angeles, October 23-25
2010
  • Business process analysis using process mining techniqueSong, M., Kang, Y. S., C.H, & Ryu. · In the Korean Industrial Information Society, UNIST, Ulsan, Korea, May 28-29
  • Beyond process mining: From the past to present and futureVan Der Aalst, W. M. P., Pesic, M., & Song, M. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6051 LNCS, 38–52
2009
  • Social software for modeling business processesKoschmider, A., Song, M., & Reijers, H. A. · Lecture Notes in Business Information Processing, 17 LNBIP, 666–677
  • Advanced social features in a recommendation system for process modelingKoschmider, A., Song, M., & Reijers, H. A. · Lecture Notes in Business Information Processing, 21 LNBIP, 109–120
  • Application of Process Mining in Healthcare – A Case Study in a Dutch HospitalMans, R. S., Schonenberg, M. H., Song, M., van der Aalst, W. M. P., & Bakker, P. J. M. · In A. Fred, J. Filipe, & H. Gamboa (Eds.), Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science (Vol. 25, pp. 425–438). Springer Berlin Heidelberg
  • A collaboration and productiveness analysis of the BPM communityReijers, H. A., Song, M., Romero, H., Dayal, U., Eder, J., & Koehler, J. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5701 LNCS, 1–14
  • Trace clustering in process miningSong, M., Günther, C. W., & Van Der Aalst, W. M. P. · Lecture Notes in Business Information Processing, 17 LNBIP, 109–120
2008
  • Process mining in healthcare - A case studyMans, R. S., Schonenberg, M. H., Song, M., Van Der Aalst, W. M. P., & Bakker, P. J. M. · HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings, 1, 118–125
2007
  • Supporting process mining by showing events at a glanceSong, M., & Van Der Aalst, W. M. P. · WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems, 140–145
  • Process Mining with ProMWeijters, T., van der Aalst, W. M. P., van Dongen abd C.W. Günther, B., Mans, R., de Medeiros, A. K. A., Rozinat, A., Song, M., & Verbeek, H. M. W. · Proceedings of the 19th Belgian-Dutch Conference on Artificial Intelligence (BNAIC 2007)
  • Business process analysis with ProMVan Der Aalst, W. M. P., Van Den Brand, P. C. W., Van Dongen, B. F., Günther, C. W., Mans, R. S., Alves De Medeiros, A. K., Rozinat, A., Song, M., Verbeek, H. M. W., & Weijters, A. J. M. M. · WITS 2007 - Proceedings, 17th Annual Workshop on Information Technologies and Systems, 223–224
  • An outlook on Semantic business process mining and monitoringAlves De Medeiros, A. K., Pedrinaci, C., Van Der Aalst, W. M. P., Domingue, J., Song, M., Rozinat, A., Norton, B., & Cabral, L. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4806 LNCS(PART 2), 1244–1255
  • On the performance of workflow processes with distributed actors: Does place matter?Reijers, H. A., Song, M., & Jeong, B. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4714 LNCS, 32–47
  • ProM 4.0: Comprehensive support for real process analysisVan Der Aalst, W. M. P., Van Dongen, B. F., Günther, C. W., Mans, R. S., De Alves Medeiros, A. K., Rozinat, A., Rubin, V., Song, M., Verbeek, H. M. W., & Weijters, A. J. M. M. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4546 LNCS, 484–494
2004
  • Mining Social Networks from business process logSong, M., van der Aalst, W. M. P., & Choi, I. · In KORMS/KIIE Conference, Jeonbuk Univ., Jeonjoo, Korea, May 21-22
  • Mining Social Networks: Uncovering Interaction Patterns in Business ProcessesVan Der Aalst, W. M. P., & Song, M. · Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3080, 244–260
2003
  • A Study on Framework for Process Knowledge ManagementChoi, I., Song, M., & Jung, J. · In KORMS/KIIE Conference, Handong Univ., Pohang, Korea, May 16-17
  • A Research Framework for Process Knowledge ManagementChoi, I., Jung, J., Song, M., & Jang, M. · Proceedings of 2003 International Conference on Computers & Industrial Engineering, San Francisco, February2-4
2001
  • Process Engineering and an XML-based Process Definition LanguageChoi, I., Park, C., & Song, M. · 2001 International Joint Conference on Computer & Industrial Engineering and IEMS, Cocoa Beach, Florida, March 5-7
2000
  • Process Packaging in Knowledge Management SystemChoi, I., Sim, G., & Song, M. · In KORMS/KIIE Conference, Kyungnam Univ., Changwon, Korea, April 20-21