Minseok Song

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Minsu ChoAssistant Professor, School of Information Convergence, Kwangwoon UniversityVerified email at kw.ac.kr
Hajo A. ReijersProfessor of Computer Science, Utrecht University || Eindhoven University of TechnologyVerified email at uu.nl
Ronny MansPostDoctoral Researcher at Technische Universiteit Eindhoven, Department of Mathematics and Computer ScienceVerified email at tue.nl
Injun ChoiPohang Univ. of Sci. & TechVerified email at postech.ac.kr
Eric VerbeekScientific Engineer, Eindhoven University of TechnologyVerified email at tue.nl
Boudewijn van DongenProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Anne RozinatCo-founder FluxiconVerified email at tue.nl
Gyunam ParkPh.D. Candidate, PADS (chair of Process and Data Science), Computer Science, RWTH-Aachen UniversityVerified email at pads.rwth-aachen.de
Agnes KoschmiderUniversity of BayreuthVerified email at uni-bayreuth.de
Bernardo Nugroho YahyaHankuk University of Foreign StudiesVerified email at hufs.ac.kr
Manuel ResinasUniversidad de SevillaVerified email at us.es
Hyerim BaePusan National UniversityVerified email at pusan.ac.kr
Marco ComuzziUlsan National Institute of Science and TechnologyVerified email at unist.ac.kr
Jiyoung KwahkPOSTECHVerified email at postech.ac.kr
S H Hanpohang university of science and technologyVerified email at postech.edu
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Kwan Hee Hanprofessor of Industrial & systems Engineering, Gyeongsang National UniversityVerified email at gnu.ac.kr
Akhil KumarPenn State UniversityVerified email at psu.edu
Ton WeijtersAssociate Professor of School of Industrial Engineering, Eindhoven

Minseok Song

Professor of Department of Industrial & Management Engineering, POSTECH

Verified email at postech.ac.kr - Homepage

Process Mining Process Analysis Industrial AI


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Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012	1633	2012
Business process mining: An industrial application WMP Van Der Aalst, HA Reijers, AJMM Weijters, BF van Dongen, ... Information systems 32 (5), 713-732, 2007	1150	2007
Discovering social networks from event logs WMP Van Der Aalst, HA Reijers, M Song Computer Supported Cooperative Work (CSCW) 14, 549-593, 2005	667	2005
Time prediction based on process mining WMP Van der Aalst, MH Schonenberg, M Song Information systems 36 (2), 450-475, 2011	598	2011
Application of process mining in healthcare–a case study in a dutch hospital RS Mans, MH Schonenberg, M Song, WMP van der Aalst, PJM Bakker International joint conference on biomedical engineering systems and …, 2008	534	2008
Trace clustering in process mining M Song, CW Günther, WMP Van der Aalst Business Process Management Workshops: BPM 2008 International Workshops …, 2009	487	2009
Towards comprehensive support for organizational mining M Song, WMP Van der Aalst Decision support systems 46 (1), 300-317, 2008	450	2008
Mining social networks: Uncovering interaction patterns in business processes WMP Van der Aalst, M Song Business Process Management 3080, 244-260, 2004	397	2004
Discovering simulation models A Rozinat, RS Mans, M Song, WMP van der Aalst Information systems 34 (3), 305-327, 2009	340	2009
ProM 4.0: Comprehensive Support for Real Process Analysis WMP van der Aalst, BF van Dongen, CW Günther, RS Mans, ... Petri Nets and Other Models of Concurrency–ICATPN 2007: 28th International …, 2007	271	2007
Analysis of length of hospital stay using electronic health records: A statistical and data mining approach H Baek, M Cho, S Kim, H Hwang, M Song, S Yoo PloS one 13 (4), e0195901, 2018	264	2018
An integration architecture for knowledge management systems and business process management systems J Jung, I Choi, M Song Computers in industry 58 (1), 21-34, 2007	259	2007
Supporting process mining by showing events at a glance M Song, WMP van der Aalst Proceedings of the 17th Annual Workshop on Information Technologies and …, 2007	184	2007
Beyond process mining: From the past to present and future WMP Van der Aalst, M Pesic, M Song Advanced Information Systems Engineering: 22nd International Conference …, 2010	170	2010
An outlook on semantic business process mining and monitoring AKA De Medeiros, C Pedrinaci, WMP Van der Aalst, J Domingue, M Song, ... On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops: OTM …, 2007	126	2007
Discovering colored Petri nets from event logs A Rozinat, RS Mans, M Song, WMP Van der Aalst International Journal on Software Tools for Technology Transfer 10, 57-74, 2008	98	2008
A comparative study of dimensionality reduction techniques to enhance trace clustering performances M Song, H Yang, SH Siadat, M Pechenizkiy Expert Systems with Applications 40 (9), 3722-3737, 2013	87	2013
Process mining for healthcare: Characteristics and challenges J Munoz-Gama, N Martin, C Fernandez-Llatas, OA Johnson, M Sepúlveda, ... Journal of Biomedical Informatics 127, 103994, 2022	86	2022
Process mining in healthcare RS Mans, MH Schonenberg, M Song, WMP Van der Aalst, PJM Bakker International Conference on Health Informatics (HEALTHINF’08), 118-125, 2015	86*	2015
Two-stage process analysis using the process-based performance measurement framework and business process simulation KH Han, JG Kang, M Song Expert systems with applications 36 (3), 7080-7086, 2009	85	2009

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