Business Process Management

We develop theories, models, methods and software tools for the Business Process Management (BPM) of the future. Our focus is on analytical applications of BPM.
Example topics:

Adaptive Case Management
Business Process Automation
Process Analytics
process mining
Predictive Business Process Monitoring

Projects:

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RISE_BPM networks world-leading research institutions and corporate innovators to develop new horizons for Business Process Management (BPM). BPM is a boundary-spanning discipline focused on division and re-integration of day-to-day work in organisations and on analysis of process data for organisational decision-making. Recent break-through innovations in Social Computing, Smart Devices, Real-Time Computing, and Big Data Technology create a strong impetus for propelling BPM into a pervasive corporate topic that enables design of entirely new products and services.

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Dieses Vorhaben dient der Vorbereitung eines Antrags zur Einzelprojektförderung. Es basiert auf wissenschaftlichen Vorarbeiten des Antragstellers und einer existierenden wissenschaftlichen Kooperation mit Forschern im brasilianischen Bundesstaat Santa Catarina. Das Projekt soll federführend durch das Institut für Wirtschaftsinformatik, European Research Center for Information Systems (ERCIS), an der Westfälischen Wilhelms-Universität Münster und die Universidade para…

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Das vorausschauende Monitoring von Geschäftsprozessen ist eine der maßgeblichen Herausforderungen im Process Mining. Ein Anwendungsfeld stellt die Vorhersage von zukünftigen Prozessschritten dar, die es erlaubt mögliche Probleme frühzeitig zu erkennen. In der Regel enthält das Vorhersagemodell Informationen über die Prozessschritte. Diese sind jedoch in vielen Fällen ungenügend für eine verlässliche Vorhersage. Kontextinformationen über die Prozessinstanz haben sich in vielen Anwendungsg…

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Während der Prozessausführung werden durch nahezu alle Anwendungssysteme für stattfindende Ereignisse Daten – so genannte Ereignislogdaten – erfasst. Ein Teilbereich des Process Mining, Predictive Business Process Monitoring, beschäftigt sich mit der Vorhersage zur Evolution von Prozessinstanzen basierend auf diesen historischen Eventlogdaten. Aufgrund der begrenzten prädiktiven Güte derartiger Verfahren, oftmals bedingt dadurch, dass Geschäftsprozess immer komplexer werden, findet bislang kaum ein E…

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Das Projekt "Analyse von Positionsdaten zur Ermittlung von Durchlaufzeiten in der Fertigung(APED-F)" untersucht die Realisierbarkeit der Ermittlung von Durchlaufzeiten inklusive ihrer Bestandtei-le durch die Analyse von Positionsdaten aus einem Real-Time Indoor-Localization-System

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Publications:

Oberdorf F., Schaschek M., Weinzierl S., Stein N., Matzner M., Flath C.:
Predictive end-to-end enterprise process network monitoring
In: Business & Information Systems Engineering (2023)
ISSN: 1867-0202
DOI: 10.1007/s12599-022-00778-4
Weinzierl S., Wolf V., Pauli T., Beverungen D., Matzner M.:
Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data
In: Journal of Business Analytics 5 (2022), p. 76-100
ISSN: 2573-234X
DOI: 10.1080/2573234X.2021.1978337
URL: https://www.tandfonline.com/doi/full/10.1080/2573234X.2021.1978337
Brunk J., Stierle M., Papke L., Revoredo K., Matzner M., Becker J.:
Cause vs. effect in context-sensitive prediction of business process instances
In: Information Systems 95 (2021), p. 101635
ISSN: 0306-4379
DOI: 10.1016/j.is.2020.101635
URL: https://www.sciencedirect.com/science/article/abs/pii/S0306437920301046
Stierle M., Weinzierl S., Harl M., Matzner M.:
A technique for determining relevance scores of process activities using graph-based neural networks
In: Decision Support Systems 144 (2021), Article No.: 113511
ISSN: 0167-9236
DOI: 10.1016/j.dss.2021.113511
URL: http://www.sciencedirect.com/science/article/pii/S016792362100021X
Beverungen D., Buijs JCAM., Becker J., Di Ciccio C., van der Aalst WMP., 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., La Rosa M., Santoro F., Solti A., Song M., Stein A., Stierle M., Wolf V.:
Seven Paradoxes of Business Process Management in a Hyper-Connected World
In: Business & Information Systems Engineering 63 (2021), p. 145–156
ISSN: 1867-0202
DOI: 10.1007/s12599-020-00646-z
Brunk J., Stottmeister J., Weinzierl S., Matzner M., Becker J.:
Exploring the effect of context information on deep learning business process predictions
In: Journal of Decision Systems (2020), p. 1-16
ISSN: 1246-0125
DOI: 10.1080/12460125.2020.1790183
Harl M., Weinzierl S., Stierle M., Matzner M.:
Explainable predictive business process monitoring using gated graph neural networks
In: Journal of Decision Systems (2020), p. 1-16
ISSN: 1246-0125
DOI: 10.1080/12460125.2020.1780780
Baier S., Dunzer S., Fettke P., Houy C., Matzner M., Pfeiffer P., Rehse JR., Scheid M., Stephan S., Stierle M., Willems B.:
The MobIS-Challenge 2019 - A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems
In: Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling 15 (2020)
ISSN: 1866-3621
DOI: 10.18417/EMISA.15.5
URL: https://emisa-journal.org/emisa/article/view/247
Janiesch C., Matzner M.:
BAMN: a modeling method for business activity monitoring systems
In: Journal of Decision Systems 28 (2019), p. 185-223
ISSN: 1246-0125
DOI: 10.1080/12460125.2019.1631682
Breuker D., Matzner M., Delfmann P., Becker J.:
Comprehensible Predictive Models for Business Processes
In: Mis Quarterly 40 (2016), p. 1009-1034
ISSN: 0276-7783
URL: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=3315&context=misq
Janiesch C., Matzner M., Müller O.:
Beyond Process Monitoring: A Proof-of-Concept of Event-driven Business Activity Management
In: Business Process Management Journal 18 (2012), p. 625-643
ISSN: 1463-7154
DOI: 10.1108/14637151211253765
URL: http://publications.martin-matzner.de/4/1/2619.pdf

Cereja J., Santoro F., Gorbacheva E., Matzner M.:
Application of the Design Thinking Approach to Process Redesign at an Insurance Company in Brazil
In: Brocke J., Mendling J. (ed.): Business Process Management Cases, Springer, Cham, 2018, p. pp 205-233 (Management for Professionals Book Series)
ISBN: 978-3-319-58306-8
DOI: 10.1007/978-3-319-58307-5_12
Breuker D., Delfmann P., Matzner M., Becker J.:
Designing and Evaluating an Interpretable Predictive Modeling Technique for Business Processes
In: Fournier Fabiana MJ, Mendling Jan (ed.): BPM 2014 International Workshops, Berlin: Springer, 2015, p. 541-553 (Lecture Notes in Business Information Processing, Vol.202)
ISBN: 978-3-319-15894-5
DOI: 10.1007/978-3-319-15895-2_46
URL: http://fluxicon.com/blog/wp-content/uploads/2015/01/DeMiMoP-2014-Predictive-BPM.pdf

Matzner M., Becker J. (ed.):
Promoting Business Process Management Excellence in Russia
Münster: 2013
(ERCIS Working Papers, Vol. 15)
URL: https://www.ercis.org/sites/www.ercis.org/files/pages/research/ercis-working-papers/ercis_wp_15.pdf

Ließmann A., Wang W., Weinzierl S., Zilker S., Matzner M.:
Transfer learning for predictive process monitoring
European Conference on Information Systems (Paphos, Cyprus)
In: Proceedings of the 32nd European Conference on Information Systems 2024
Ließmann A., Zilker S., Weinzierl S., Sukhareva M., Matzner M.:
Predicting customer satisfaction in service processes using multilingual large language models
Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
Drodt C., Weinzierl S., Matzner M., Delfmann P.:
Predictive Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring
International Conference on Advanced Information Systems Engineering (Zaragoza, 12. June 2023 - 16. June 2023)
In: Proceedings of the 35th International Conference on Advanced Information Systems Engineering Forum 2023
DOI: 10.1007/978-3-031-34674-3_9
Dunzer S., Tang W., Höchstädter N., Zilker S., Matzner M.:
Design Principles for Using Business Process Management Systems
Business Process Management 2023 Workshops (Utrecht, The Netherlands, 11. September 2023 - 15. September 2023)
In: Jochen De Weerdt and Luise Pufahl (ed.): Business Process Management Workshops, Cham, Switzerland: 2023
Weinzierl S., Bartelheimer C., Zilker S., Beverungen D., Matzner M.:
A method for predicting workarounds in business processes
Pacific Asia Conference on Information Systems (Taipei-Sydney, 5. July 2022 - 9. July 2022)
In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
Zilker S., Marx E., Stierle M., Matzner M.:
Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
Hawaii International Conference on System Sciences (Maui, Hawaii, 4. January 2022 - 7. January 2022)
In: Proceedings of the 55th Hawaii International Conference on System Sciences 2022
DOI: 10.24251/HICSS.2022.239
URL: http://hdl.handle.net/10125/79571
Joas A., Matzner M.:
Unleashing Digital Process Innovation with Process Mining: Designing a Training Concept with Action Design Research
European Conference on Information Systems (Timișoara, Romania)
In: Proceedings of the 30th European Conference on Information Systems (ECIS) 2022
Open Access: https://aisel.aisnet.org/ecis2022_rp/146/
URL: https://aisel.aisnet.org/ecis2022_rp/146/
Dunzer S., Zilker S., Marx E., Grundler V., Matzner M.:
The Status Quo of Process Mining in the Industrial Sector
International Conference on Wirtschaftsinformatik (WI) (Duisburg-Essen // Virtual, 9. March 2021 - 11. March 2021)
In: Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI) 2021
DOI: 10.1007/978-3-030-86800-0_43
URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/
Weinzierl S., Dunzer S., Tenschert J., Zilker S., Matzner M.:
Predictive business process deviation monitoring
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021
Drodt C., Weinzierl S., Matzner M., Delfmann P.:
The recomminder: A decision support tool for predictive business process monitoring
International Conference on Business Process Management (Rom)
In: Proceedings of the BPM 2021 Demonstration & Resources Track, Best BPM Dissertation Award, and Doctoral Consortium 2021
Stierle M., Brunk J., Weinzierl S., Zilker S., Matzner M., Becker J.:
Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021
Tenschert J., Dunzer S., Matzner M.:
Notation-agnostic Subprocess Modeling for Adaptive Case Management
International Conference on Wirtschaftsinformatik, WI 2021 (Duisburg, DEU, 9. March 2021 - 11. March 2021)
In: Frederik Ahlemann, Reinhard Schütte, Stefan Stieglitz (ed.): Lecture Notes in Information Systems and Organisation 2021
DOI: 10.1007/978-3-030-86800-0_25
URL: https://aisel.aisnet.org/wi2021/DEnterpriseModelling21/Track21/12/
Weinzierl S.:
Exploring gated graph sequence neural networks for predicting next process activities
International Conference on Business Process Management (Rom)
In: Proceedings of the BPM 2021 International Workshops. 2021
DOI: 10.1007/978-3-030-94343-1_3
Tang W., Matzner M.:
Creating Humanistic Value with Process Mining for Improving Work Conditions - A Sociotechnical Perspective
Forty-First International Conference on Information Systems (India, 13. December 2020 - 16. December 2020)
In: Association for Information Systems (ed.): ICIS 2020 Proceedings 2020
URL: https://aisel.aisnet.org/icis2020/is_workplace_fow/is_workplace_fow/16/
Nguyen A., Chatterjee S., Weinzierl S., Schwinn L., Matzner M., Eskofier B.:
Time matters: Time-aware LSTMs for predictive business process monitoring
International Conference on Process Mining (Padua, 4. October 2020 - 9. October 2020)
In: Proceedings of the ICPM 2020 International Workshops 2020
DOI: 10.1007/978-3-030-72693-5_9
Tenschert J., Marmaridis S.:
Pertuniti: Subprocess Modeling and Hierarchic Case Management
BPM 2020 Demo (Sevilla, Spain, 13. September 2020 - 18. September 2020)
URL: http://ceur-ws.org/Vol-2673/paperDR13.pdf
Viner D., Stierle M., Matzner M.:
A Process Mining Software Comparison
2nd International Conference on Process Mining (ICPM) (Padua, 4. October 2020 - 9. October 2020)
In: Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM} 2020) 2020
URL: http://ceur-ws.org/Vol-2703/paperTD1.pdf
Weinzierl S., Dunzer S., Zilker S., Matzner M.:
Prescriptive business process monitoring for recommending next best actions
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the 18th International Conference on Business Process Management Forum 2020
DOI: 10.1007/978-3-030-58638-6_12
URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58638-6_12.pdf
Tenschert J., Hormesch M.:
Flexibility, Adherence, and Guidance for Regulated Processes with Case Management
BPM 2020 Industry Forum (Sevilla, Spain, 13. September 2020 - 18. September 2020)
In: BPM 2020 Industry Forum Proceedings 2020
URL: https://congreso.us.es/bpm2020/images/industryforum.pdf
Hindel J., Cabrera Pérez L., Stierle M.:
Robotic Process Automation: Hype or Hope?
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
DOI: 10.30844/wi_2020_r6-hindel
URL: https://library.gito.de/oa_wi2020-r6.html
Weinzierl S., Stierle M., Zilker S., Matzner M.:
A next click recommender system for web-based service analytics with context-aware LSTMs
Hawaii International Conference on System Sciences (Grand Wailea, Maui, Hawaii, 7. January 2020 - 10. January 2020)
In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
DOI: 10.24251/HICSS.2020.190
URL: http://hdl.handle.net/10125/63929
Tenschert J., Tang W., Matzner M.:
Enterprise System Capabilities for Organizational Change in the BPM Life Cycle
Business Process Management 2020 Workshops (Sevilla, Spain, 13. September 2020 - 18. September 2023)
In: Adela del-Río-Ortega, Henrik Leopold and Flavia M. Santoro (ed.): Business Process Management Workshops, Cham, Switzerland: 2020
Weinzierl S., Zilker S., Stierle M., Park G., Matzner M.:
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
Internationale Tagung Wirtschaftsinformatik (Potsdam, 8. March 2020 - 11. March 2020)
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
DOI: 10.30844/wi_2020_c12-weinzierl
URL: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf
Stierle M., Zilker S., Dunzer S., Tenschert J., Karagegova G.:
Design Principles for Comprehensible Process Discovery in Process Mining
In: Rowe F, Amrani RE, Limayem M, Newell S, Pouloudi N, Heck E, Quammah AE (ed.): 28th European Conference on Information Systems - Liberty, Equality, and Fraternity in a Digitizing World, ECIS 2020, Marrakech, Morocco, June 15-17, 2020 2020
URL: https://aisel.aisnet.org/ecis2020_rp/42/
Weinzierl S., Wolf V., Pauli T., Beverungen D., Matzner M.:
Detecting workarounds in business processes — A deep learning method for analyzing event logs
European Conference on Information Systems (Marrakesch, 15. June 2020 - 17. June 2020)
In: Proceedings of the 28th European Conference on Information Systems 2020
URL: https://www.researchgate.net/publication/341180737_DETECTING_WORKAROUNDS_IN_BUSINESS_PROCESSES_-_A_DEEP_LEARNING_METHOD_FOR_ANALYZING_EVENT_LOGS
Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
XNAP: Making LSTM-based next activity predictions explainable by using LRP
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the BPM 2020 International Workshops. 2020
DOI: 10.1007/978-3-030-66498-5_10
Wellmann C., Stierle M., Dunzer S., Matzner M.:
A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities
BPM2020
In: Asatiani A, García JM, Helander N, Jiménez-Ramírez A, Koschmider A, Mendling J, Meroni G, Reijers HA (ed.): Business Process Management: Blockchain and Robotic Process Automation Forum, Cham: 2020
DOI: 10.1007/978-3-030-58779-6_14
URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58779-6_14.pdf
Weinzierl S., Revoredo K., Matzner M.:
Predictive business process monitoring with context information from documents
European Conference on Information Systems (Stockholm, 8. June 2019 - 14. June 2019)
In: Proceedings of the 27th European Conference on Information Systems 2019
URL: https://www.researchgate.net/publication/333245929_PREDICTIVE_BUSINESS_PROCESS_MONITORING_WITH_CONTEXT_INFORMATION_FROM_DOCUMENTS
Dunzer S., Stierle M., Matzner M., Baier S.:
Conformance checking: A state-of-the-art literature review
S-BPM ONE 2019 (Seville, Spain, 26. June 2019 - 28. June 2019)
In: Proceedings of the 11th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2019 2019
DOI: 10.1145/3329007.3329014
URL: https://dl.acm.org/citation.cfm?id=3329014
Brunk J., Revoredo K., Stierle M., Matzner M., Delfmann P., Becker J.:
Prediction of business process instances with dynamic Bayesian networks
8th International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018 (Sevilla)
In: Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van (ed.): Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018) 2018
URL: http://ceur-ws.org/Vol-2270/short1.pdf
Marx E., Matzner M.:
Optimization of production processes using Process Mining
Netzwerkkongress der ZD.B Initiativen für die Wissenschaft (Kloster Frauenchiemsee, 24. October 2018 - 26. October 2018)
In: Netzwerkkongress der ZD.B Initiativen für die Wissenschaft - Abstractband 2018
Becker J., Breuker B., Delfmann P., Matzner M.:
Designing and Implementing a Framework for Event-based Predictive Modelling of Business Processes
International Workshop: Evolution of Information Systems and their Design Methods (EMISA 2014) (Luxembourg)
Open Access: http://cs.emis.de/LNI/Proceedings/Proceedings234/71.pdf
URL: http://cs.emis.de/LNI/Proceedings/Proceedings234/71.pdf
Matzner M., Breuker D.:
Performances of Business Processes and Organizational Routines: Similar Research Problems, Different Research Methods - A Literature Review
European Conference on Information Systems (ECIS 2014) (Tel Aviv)
Open Access: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1242&context=ecis2014
URL: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1242&context=ecis2014
Matzner M., Scholta H.:
Process Mining Approaches to Detect Organizational Properties in Cyber-Physical Systems
European Conference on Information Systems (ECIS 2014) (Tel Aviv)
Open Access: http://publications.martin-matzner.de/8/1/Ecis2014_1.pdf
URL: http://publications.martin-matzner.de/8/1/Ecis2014_1.pdf
Matzner M., Schwegmann B., Janiesch C.:
preCEP: Facilitating Predictive Event-Driven Process Analytics
International Conference on Design Science Research in Information Systems and Technology (DESRIST) (Helsinki)
In: Brocke Jan vom, Hekkala Riitta, Ram Sudha, Rossi Matti (ed.): Design Science at the Intersection of Physical and Virtual Design: Proceedings of the 8th International Conference DESRIST 2013, Heidelberg: 2013
DOI: 10.1007/978-3-642-38827-9_36
URL: http://publications.martin-matzner.de/2/2/Desrist2013.pdf
Breuker D., Matzner M.:
Statistical Sequence Analysis for Business Process Mining and Organizational Routines
European Conference on Information Systems (ECIS) (Utrecht, Netherlands)
In: Proceedings of the 21st European Conference on Information Systems (ECIS 2013) 2013
Open Access: http://publications.martin-matzner.de/3/1/Ecis2013.pdf
URL: http://publications.martin-matzner.de/3/1/Ecis2013.pdf
Matzner M., Schwegmann B., Janiesch C.:
A Method and Tool for Predictive Event-Driven Process Analytics
Internationale Konferenz Wirtschaftsinformatik (Leipzig)
In: Alt Rainer, Franczyk Bogdan (ed.): Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013) 2013
Open Access: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1045&context=wi2013
URL: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1045&context=wi2013
Becker J., Matzner M., Oliver M., Walter M.:
A Review of Event Formats as Enablers of event-driven BPM
International Workshop on Event-driven Business Process Management (edBPM 2011) (Clermont-Ferrand, France)
In: Aalst Wil van der, Mylopoulos John, Rosemann Michael, Shaw Michael J, Szyperski Clemens (ed.): International Workshop on Event-driven Business Process Management (edBPM 2011), Berlin: 2012
DOI: 10.1007/978-3-642-28108-2_42
URL: http://udoo.uni-muenster.de/downloads/publications/2526.pdf
Raffelsieper T., Becker J., Matzner M., Janiesch C.:
Requirements for a Pattern Language for Event-driven Business Activity Monitoring
Multikonferenz der Wirtschaftsinformatik (MKWI 2012) (Braunschweig, Germany)
URL: http://udoo.uni-muenster.de/downloads/publications/2571.pdf
Friedenstab Jan-Philipp JP., Janiesch C., Matzner M., Oliver M.:
Extending BPMN for Business Activity Monitoring
Hawaii International Conference on System Sciences (HICSS-45) (Wailea, HI, USA)
In: Proceedings of the 45th Annual Hawaii International Conference on System Sciences 2012
DOI: 10.1109/HICSS.2012.276
URL: http://udoo.uni-muenster.de/downloads/publications/2536.pdf
Janiesch C., Matzner M., Oliver M.:
A Blueprint for Event-driven Business Activity Management
9th International Conference on Business Process Management (BPM 2011) (Clermont-Ferrand, France)
In: Rinderle-Ma Stefanie, Toumani Farouk, Wolf Karsten (ed.): Proceedings of the 9th International Conference Business Process Management (BPM 2011), Berlin: 2011
DOI: 10.1007/978-3-642-23059-2_4
Janiesch C., Matzner M., Oliver M.:
Slipstream: A BAM Proof of Concept using Standard Software
9th International Conference on Business Process Management (BPM 2011), Demo Track (Clermont-Ferrand, France)
In: 9th International Conference on Business Process Management (BPM) Demo Track 2011
Janiesch C., Fischer R., Matzner M., Müller O.:
Business Activity Management for Service Networks in Cloud Environments
6th Workshop on Middleware for Service Oriented Computing (Lisboa, Portugal)
In: Proceedings of the 6th Workshop on Middleware for Service-oriented Computing (MW4SOC 2011) 2011
DOI: 10.1145/2093185.2093187
Janiesch C., Matzner M., Müller O., Vollmer R., Becker J.:
Slipstream: Architecture Options for Real-Time Process Analytics
ACM Symposium on Applied Computing (SAC2011) (Taichung, Taiwan)
In: Proceedings of the ACM Symposium on Applied Computing (SAC 2011) 2011
DOI: 10.1145/1982185.1982252
Matzner M., Voigt M., Alexandrini F., Araújo TS., Becker J.:
Process Modelling in Brazilian Public Administrations: The domain-specific PICTURE approach
Proceedings of the 15th Americas Conference on Information Systems (AMCIS2009) (San Francisco, CA, USA)
In: Proceedings of the 15th Americas Conference on Information Systems (AMCIS) 2009
URL: http://udoo.uni-muenster.de/downloads/publications/2313.pdf

Tenschert J.:
Speech-Act-Based Adaptive Case Management (Dissertation, 2019)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/12543

Stierle M., Matzner M.:
Customer Service - Device Repair Process (sp2020)
(2020)
DOI: 10.5281/zenodo.3928487

Business Process Management

Projects:

PropelleR: Joint German-Russian Innovation Forum "Promoting business process management excellence in Russia" (PropelleR 2012)

RISE_BPM: Propelling Business Process Management by Research and Innovation Staff Exchange

SIPI: Initiation of Bilateral Cooperation with Brazil - Evaluating Standards for Interorganizational Process Integration in Brazilian-German Value Networks

Bayessche Vorhersagemodelle auf Basis von Kontextinformationen für das Monitoring von Geschäftsprozessen

IdAP: Identifikation von Automatisierungspotentialen mit Process Mining (IdAP)

AISA: Artificial-Intelligence to Reveal Potentials for Semi-Process-Automation

APED-F: Analyse von Positonsdaten zur Ermittlung von Durchlaufzeiten in der Fertigung

DeLePred: Deep Learning im Kontext von Predictive Maintenance

BuBLe: Building Bridges - Reinforcement Learning on Molecular and Process Graphs

CoPro: Multidimensionales Conformance Checking für Prozesse

3PMIPP: Predictive and Prescriptive Process Monitoring for Industrial Production Processes

Publications:

Journal Articles

Book Contributions

Edited Volumes

Conference Contributions

Thesis

Miscellaneous