The Process Improvement Explorer: Automated Discovery and Assessment of Business Process Improvement Opportunities

Enhancing business process simulation models with extraneous activity delays

Autori: David Chapela-Campa, Marlon Dumas
Pubblicato in: Information Systems, Numero 122, 2024, Pagina/e 102346, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102346

AI-augmented Business Process Management Systems: A Research Manifesto

Autori: Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber
Pubblicato in: ACM Transactions on Management Information Systems, Numero 14, 2023, Pagina/e 1-19, ISSN 2158-656X
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3576047

Discovery, simulation, and optimization of business processes with differentiated resources

Autori: Orlenys López-Pintado, Marlon Dumas, Jonas Berx
Pubblicato in: Information Systems, Numero 120, 2023, Pagina/e 102289, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102289

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

Autori: Niels Martin, Dominik A. Fischer, Georgi D. Kerpedzhiev, Kanika Goel, Sander J. J. Leemans, Maximilian Röglinger, Wil M. P. van der Aalst, Marlon Dumas, Marcello La Rosa, Moe T. Wynn
Pubblicato in: Business & Information Systems Engineering, Numero 63, 2021, Pagina/e 511-527, ISSN 2363-7005
Editore: Springer
DOI: 10.1007/s12599-021-00720-0

Data-Driven Identification and Analysis of Waiting Times in Business Processes

Autori: Muhammad Awais Ali, Fredrik Milani, Marlon Dumas
Pubblicato in: Business & Information Systems Engineering, 2024, ISSN 2363-7005
Editore: Springer
DOI: 10.1007/s12599-024-00868-5

Business process variant analysis: Survey and classification

Autori: Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
Pubblicato in: Knowledge-Based Systems, Numero 211, 2021, Pagina/e 106557, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2020.106557

Robotic Process Mining: Vision and Challenges

Autori: Volodymyr Leno; Artem Polyvyanyy; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi
Pubblicato in: Business & Information Systems Engineering, Numero Vol. 63, 2021, Pagina/e 301–314, ISSN 2363-7005
Editore: Springer
DOI: 10.1007/s12599-020-00641-4

From process mining to augmented process execution

Autori: David Chapela-Campa, Marlon Dumas
Pubblicato in: Software and Systems Modeling, Numero 22, 2024, Pagina/e 1977-1986, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-023-01132-2

Learning business process simulation models: A Hybrid process mining and deep learning approach

Autori: Manuel Camargo, Daniel Báron, Marlon Dumas, Oscar González-Rojas
Pubblicato in: Information Systems, Numero 117, 2023, Pagina/e 102248, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102248

Differentially private release of event logs for process mining

Autori: Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Pubblicato in: Information Systems, Numero 115, 2023, Pagina/e 102161, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2022.102161

Optimization framework for DFG-based automated process discovery approaches

Autori: Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans & Seppe K. L. M. vanden Broucke
Pubblicato in: Software and Systems Modeling, Numero 20(4), 2021, Pagina/e 1245-1270, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-020-00846-x

Business process simulation: Probabilistic modeling of intermittent resource availability and multitasking behavior

Autori: Orlenys López-Pintado, Marlon Dumas
Pubblicato in: Information Systems, Numero 127, 2024, Pagina/e 102471, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102471

Discovering generative models from event logs: data-driven simulation vs deep learning

Autori: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Pubblicato in: PeerJ Computer Science, Numero 7, 2021, Pagina/e e577, ISSN 2376-5992
Editore: PeerJ
DOI: 10.7717/peerj-cs.577

Prescriptive process monitoring: <i>Quo vadis</i>?

Autori: Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Pubblicato in: PeerJ Computer Science, Numero 8, 2022, Pagina/e e1097, ISSN 2376-5992
Editore: PeerJ Publishing
DOI: 10.7717/peerj-cs.1097

Prescriptive process monitoring based on causal effect estimation

Autori: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Pubblicato in: Information Systems, Numero 116, 2023, Pagina/e 102198, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102198

Automated generation of process simulation scenarios from declarative control-flow changes

Autori: Daniel Barón-Espitia, Marlon Dumas, Oscar González-Rojas
Pubblicato in: PeerJ Computer Science, Numero 10, 2024, Pagina/e e2094, ISSN 2376-5992
Editore: PeerJ Publishing
DOI: 10.7717/peerj-cs.2094

Scalable alignment of process models and event logs: An approach based on automata and S-components

Autori: Daniel Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa
Pubblicato in: Information Systems, Numero 94, 2020, Pagina/e 101561, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2020.101561

Unveiling the causes of waiting time in business processes from event logs

Autori: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Pubblicato in: Information Systems, Numero 126, 2024, Pagina/e 102434, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102434

A framework for measuring the quality of business process simulation models

Autori: David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Pubblicato in: Information Systems, Numero 127, 2024, Pagina/e 102447, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2024.102447

Automated discovery of business process simulation models from event logs

Autori: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Pubblicato in: Decision Support Systems, Numero 134, 2020, Pagina/e 113284, ISSN 0167-9236
Editore: Elsevier BV
DOI: 10.1016/j.dss.2020.113284

Discovering data transfer routines from user interaction logs

Autori: Volodymyr Leno; Adriano Augusto; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi; Artem Polyvyanyy
Pubblicato in: Information Systems, Numero Vo. 107, 2022, Pagina/e 101916, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2021.101916

Discovering business process simulation models in the presence of multitasking and availability constraints

Autori: Bedilia Estrada-Torres; Bedilia Estrada-Torres; Manuel Camargo; Marlon Dumas; Luciano García-Bañuelos; Ibrahim Mahdy; Maksym Yerokhin
Pubblicato in: Data and Knowledge Engineering, Numero 134, 2021, Pagina/e 101897, ISSN 0169-023X
Editore: Elsevier BV
DOI: 10.1016/j.datak.2021.101897

Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes

Autori: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Marlon Dumas
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Pagina/e 231-247
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-05760-1_14

When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints

Autori: Mahmoud Shoush, Marlon Dumas
Pubblicato in: Lecture Notes in Business Information Processing, Business Process Management Forum, 2024, Pagina/e 207-223
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-16171-1_13

Discovery of Improvement Opportunities in Knock-Out Checks of Business Processes

Autori: Katsiaryna Lashkevich, Lino Moises Mediavilla Ponce, Manuel Camargo, Fredrik Milani, Marlon Dumas
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Pagina/e 381-397
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_23

Discovering Automatable Routines from User Interaction Logs

Autori: Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino
Pubblicato in: Business Process Management Forum - BPM Forum 2019, Vienna, Austria, September 1–6, 2019, Proceedings, Numero 360, 2019, Pagina/e 144-162, ISBN 978-3-030-26642-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-26643-1_9

Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes

Autori: Muhammad Awais Ali, Marlon Dumas, Fredrik Milani
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Pagina/e 149-165
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59465-6_10

Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring

Autori: Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Pubblicato in: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Pagina/e 347-363
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_21

Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring

Autori: Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas
Pubblicato in: Lecture Notes in Computer Science, Business Process Management, 2024, Pagina/e 403-420
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70396-6_23

Digital Technology-Driven Business Process Redesign: A Classification Framework

Autori: Kateryna Kubrak, Fredrik Milani, Juuli Nava
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Pagina/e 205-221
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_13

Prosimos: Discovering and Simulating Business Processes with Differentiated Resources

Autori: Orlenys López-Pintado, Iryna Halenok, Marlon Dumas
Pubblicato in: Lecture Notes in Business Information Processing, Enterprise Design, Operations, and Computing. EDOC 2022 Workshops, 2023, Pagina/e 346-352
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-26886-1_23

Discovering Business Process Simulation Models in the Presence of Multitasking

Autori: Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin
Pubblicato in: Research Challenges in Information Science - 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings, Numero 385, 2020, Pagina/e 381-397, ISBN 978-3-030-50315-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-50316-1_23

Process Mining: A Guide for Practitioners

Autori: Fredrik Milani, Katsiaryna Lashkevich, Fabrizio Maria Maggi, Chiara Di Francescomarino
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science, 2024, Pagina/e 265-282
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-05760-1_16

Learning Accurate LSTM Models of Business Processes

Autori: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Pubblicato in: Business Process Management - 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings, Numero 11675, 2019, Pagina/e 286-302, ISBN 978-3-030-26618-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-26619-6_19

Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes

Autori: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Pubblicato in: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Pagina/e 174-190
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_11

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

Autori: Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
Pubblicato in: Lecture Notes in Computer Science, Advanced Information Systems Engineering, 2023, Pagina/e 364-380
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-34560-9_22

Persuasive Visual Presentation of Prescriptive Business Processes

Autori: Janna-Liina Leemets, Kateryna Kubrak, Fredrik Milani, Alexander Nolte
Pubblicato in: Lecture Notes in Business Information Processing, Research Challenges in Information Science: Information Science and the Connected World, 2024, Pagina/e 398-414
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33080-3_24

LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method

Autori: Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas
Pubblicato in: Lecture Notes in Computer Science, Business Process Management, 2024, Pagina/e 474-492
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70396-6_27

Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models

Autori: David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Pubblicato in: Lecture Notes in Computer Science, Business Process Management, 2024, Pagina/e 20-37
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-41620-0_2

Constructing Digital Twins for Accurate and Reliable What-If Business Process Analysis

Autori: Marlon Dumas
Pubblicato in: Proceedings of the International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), 2021
Editore: CEUR-WS.org

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Autori: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Pubblicato in: Proceedings of the 3rd International Conference on Process Mining (ICPM'2021), 2021, Pagina/e 96-103, ISBN 978-1-6654-3514-7
Editore: IEEE
DOI: 10.1109/icpm53251.2021.9576853

Redesigning Business Processes to Reduce Waiting Times Using Large Language Models

Autori: Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas
Pubblicato in: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Numero Vol 3758, 2024
Editore: CEUR-WS Proceedings

Kronos: Discovery and Analysis of Waiting Time Causes

Autori: Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Pubblicato in: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Numero Vol 8976, 2023
Editore: CEUR-WS.org

Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs

Autori: Volodymyr Leno, Stanislav Deviatykh, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
Pubblicato in: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), 2020, Pagina/e 102-106
Editore: CEUR-WS.org

Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning

Autori: Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Pubblicato in: Proceedings of CAiSE 2022: International Conference on Advanced Information Systems Engineering, 2022, Pagina/e 55-71, ISBN 978-3-031-07471-4
Editore: Springer Nature
DOI: 10.1007/978-3-031-07472-1_4

Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes

Autori: Mahmoud Shoush, Marlon Dumas
Pubblicato in: Proceedings of the 2nd International Workshop on Process Management in the AI Era (PMAI 2023) co-located with 31st International Joint Conference on Artificial Intelligence (IJCAI 2023), Numero Vol 3569, 2023
Editore: CEUR-WS.org

Analysis templates for identifying improvement opportunities with process mining

Autori: Katsiaryna Lashkevich, Fredrik Milani, Nadiia Danylyshyn
Pubblicato in: European Conference on Information Systems (ECIS), 2023
Editore: Association for Information Systems

dynamik: A Tool for Performance Drift Detection inBusiness Processes

Autori: Víctor Gallego-Fontenla, Fredrik Milani, Marlon Dumas
Pubblicato in: Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), Numero Volume 3783, 2024
Editore: CEUR-WS.org

Kairos: A Tool for Prescriptive Monitoring of Business Processes. ICPM Doctoral Consortium / Demo 2023

Autori: Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu
Pubblicato in: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Numero Volume 3648, 2023
Editore: CEUR-WS.org

Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling

Autori: Gamal Elkoumy, Marlon Dumas
Pubblicato in: 2022 4th International Conference on Process Mining (ICPM), 2023, Pagina/e 144-151
Editore: IEEE
DOI: 10.1109/icpm57379.2022.9980619

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs

Autori: Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Pubblicato in: 2020 2nd International Conference on Process Mining (ICPM), 2020, Pagina/e 129-136, ISBN 978-1-7281-9832-3
Editore: IEEE
DOI: 10.1109/icpm49681.2020.00028

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach

Autori: Mahmoud Shoush, Marlon Dumas
Pubblicato in: Proceedings of the Workshops of the International Conference on Process Mining (ICPM Workshops'2021), 2021, Pagina/e 180-193, ISBN 978-3-030-98580-6
Editore: Springer Verlag
DOI: 10.1007/978-3-030-98581-3_14

Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs

Autori: Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
Pubblicato in: 2020 2nd International Conference on Process Mining (ICPM), 2020, Pagina/e 153-160, ISBN 978-1-7281-9832-3
Editore: IEEE
DOI: 10.1109/icpm49681.2020.00031

Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars

Autori: Orlenys López-Pintado, Marlon Dumas
Pubblicato in: 2023 5th International Conference on Process Mining (ICPM), 2023, Pagina/e 1-8
Editore: IEEE
DOI: 10.1109/icpm60904.2023.10271965

Silhouetting the Cost-Time Front: Multi-objective Resource Optimization in Business Processes

Autori: Orlenys López-Pintado, Marlon Dumas, Maksym Yerokhin, Fabrizio Maria Maggi
Pubblicato in: Proceedings of the Forum of the 2021 International Conference on Business Process Management (BPM Forum), 2021, Pagina/e 92-108, ISBN 978-3-030-85439-3
Editore: Springer Verlag
DOI: 10.1007/978-3-030-85440-9_6

Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining

Autori: Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Pubblicato in: Proceedings of the 3rd International Conference on Process Mining (ICPM'2021), 2021, Pagina/e 80-87, ISBN 978-1-6654-3514-7
Editore: IEEE
DOI: 10.1109/icpm53251.2021.9576852

Discovery and Simulation of Data-Aware Business Processes

Autori: Orlenys López-Pintado, Serhii Murashko, Marlon Dumas
Pubblicato in: 2024 6th International Conference on Process Mining (ICPM), 2024, Pagina/e 105-112
Editore: IEEE
DOI: 10.1109/icpm63005.2024.10680675

Automated Discovery of Data Transformations for Robotic Process Automation

Autori: Volodymyr Leno; Marlon Dumas; Marcello La Rosa; Fabrizio Maria Maggi; Artem Polyvyanyy
Pubblicato in: Proceedings of the AAAI'2021 workshop on Intelligent Process Automation, 2021
Editore: Arxiv
DOI: 10.5281/zenodo.6481880

Optimos: A Tool for Simulation-Driven Business Process Optimization

Autori: Orlenys López-Pintado, Jannis Rosenbaum, Jonas Berx, Marlon Dumas
Pubblicato in: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Numero Vol 3758, 2024
Editore: CEUR-WS.org

Modeling Extraneous Activity Delays in Business Process Simulation

Autori: David Chapela-Campa, Marlon Dumas
Pubblicato in: 2022 4th International Conference on Process Mining (ICPM), 2023, Pagina/e 72-79
Editore: IEEE
DOI: 10.1109/icpm57379.2022.9980544

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