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Marlon Dumas
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- affiliation: University of Tartu, Estonia
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2020 – today
- 2025
- [j120]Mahmoud Shoush
, Marlon Dumas:
White box specification of intervention policies for prescriptive process monitoring. Data Knowl. Eng. 155: 102379 (2025) - [j119]David Chapela-Campa
, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich:
A framework for measuring the quality of business process simulation models. Inf. Syst. 127: 102447 (2025) - [j118]Ladjel Bellatreche, Marlon Dumas, Panagiotis Karras, Raimundas Matulevicius, Silvia Chiusano, Tania Cerquitelli, Robert Wrembel:
Advances on data management systems. Inf. Syst. 127: 102467 (2025) - [j117]Orlenys López-Pintado
, Marlon Dumas:
Business process simulation: Probabilistic modeling of intermittent resource availability and multitasking behavior. Inf. Syst. 127: 102471 (2025) - 2024
- [j116]Orlenys López-Pintado
, Marlon Dumas, Jonas Berx:
Discovery, simulation, and optimization of business processes with differentiated resources. Inf. Syst. 120: 102289 (2024) - [j115]David Chapela-Campa
, Marlon Dumas:
Enhancing business process simulation models with extraneous activity delays. Inf. Syst. 122: 102346 (2024) - [j114]Katsiaryna Lashkevich
, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Unveiling the causes of waiting time in business processes from event logs. Inf. Syst. 126: 102434 (2024) - [j113]Daniel Barón-Espitia, Marlon Dumas, Oscar González Rojas
:
Automated generation of process simulation scenarios from declarative control-flow changes. PeerJ Comput. Sci. 10: e2094 (2024) - [c227]Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas:
Redesigning Business Processes to Reduce Waiting Times Using Large Language Models. BPM (Demos / Resources Forum) 2024: 116-120 - [c226]Orlenys López-Pintado, Jannis Rosenbaum, Jonas Berx, Marlon Dumas:
Optimos: A Tool for Simulation-Driven Business Process Optimization. BPM (Demos / Resources Forum) 2024: 126-130 - [c225]Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas:
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring. BPM 2024: 403-420 - [c224]Katsiaryna Lashkevich
, Fredrik Milani
, Maksym Avramenko
, Marlon Dumas
:
LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method. BPM 2024: 474-492 - [c223]Víctor Gallego-Fontenla, Fredrik Milani, Marlon Dumas:
dynamik: A Tool for Performance Drift Detection in Business Processes. ICPM Doctoral Consortium / Demo 2024 - [c222]Orlenys López-Pintado, Serhii Murashko, Marlon Dumas:
Discovery and Simulation of Data-Aware Business Processes. ICPM 2024: 105-112 - [c221]Muhammad Awais Ali, Marlon Dumas, Fredrik Milani:
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes. RCIS (1) 2024: 149-165 - [d9]David Chapela-Campa
, Ismail Benchekroun, Opher Baron, Marlon Dumas
, Dmitry Krass, Arik Senderovich:
Evaluation datasets and results of the paper "A Framework for Measuring the Quality of Business Process Simulation Models". Version 2.0. Zenodo, 2024 [all versions] - [i64]Orlenys López-Pintado, Serhii Murashko, Marlon Dumas:
Discovery and Simulation of Data-Aware Business Processes. CoRR abs/2408.13666 (2024) - [i63]David Chapela-Campa, Marlon Dumas:
Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing. CoRR abs/2409.05658 (2024) - [i62]Orlenys López-Pintado, Marlon Dumas:
Business Process Simulation: Probabilistic Modeling of Intermittent Resource Availability and Multitasking Behavior. CoRR abs/2410.16941 (2024) - 2023
- [j112]Iris Beerepoot
, Claudio Di Ciccio
, Hajo A. Reijers
, Stefanie Rinderle-Ma
, Wasana Bandara, Andrea Burattin, Diego Calvanese
, Tianwa Chen
, Izack Cohen
, Benoît Depaire
, Gemma Di Federico
, Marlon Dumas
, Christopher G. J. van Dun
, Tobias Fehrer
, Dominik Andreas Fischer
, Avigdor Gal
, Marta Indulska, Vatche Isahagian
, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy
, Hugo A. López
, Sanja Lukumbuzya, Jan Mendling
, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk
, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq
, Ronny Seiger
, Tijs Slaats
, Mantas Simkus
, Ida Asadi Someh
, Barbara Weber, Ingo Weber
, Mathias Weske, Francesca Zerbato
:
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - [j111]Gamal Elkoumy
, Alisa Pankova, Marlon Dumas
:
Differentially private release of event logs for process mining. Inf. Syst. 115: 102161 (2023) - [j110]Zahra Dasht Bozorgi
, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive process monitoring based on causal effect estimation. Inf. Syst. 116: 102198 (2023) - [j109]Manuel Camargo
, Daniel Báron, Marlon Dumas, Oscar González Rojas
:
Learning business process simulation models: A Hybrid process mining and deep learning approach. Inf. Syst. 117: 102248 (2023) - [j108]David Chapela-Campa
, Marlon Dumas:
From process mining to augmented process execution. Softw. Syst. Model. 22(6): 1977-1986 (2023) - [j107]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
:
AI-augmented Business Process Management Systems: A Research Manifesto. ACM Trans. Manag. Inf. Syst. 14(1): 11:1-11:19 (2023) - [c220]David Chapela-Campa
, Ismail Benchekroun, Opher Baron
, Marlon Dumas, Dmitry Krass, Arik Senderovich:
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models. BPM 2023: 20-37 - [c219]Katsiaryna Lashkevich
, Fredrik Milani
, David Chapela-Campa
, Ihar Suvorau
, Marlon Dumas
:
Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. CAiSE 2023: 174-190 - [c218]Kateryna Kubrak
, Fredrik Milani
, Alexander Nolte
, Marlon Dumas
:
Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring. CAiSE 2023: 347-363 - [c217]Zahra Dasht Bozorgi
, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CAiSE 2023: 364-380 - [c216]Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu:
Kairos: A Tool for Prescriptive Monitoring of Business Processes. ICPM Doctoral Consortium / Demo 2023 - [c215]Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Kronos: Discovery and Analysis of Waiting Time Causes. ICPM Doctoral Consortium / Demo 2023 - [c214]Orlenys López-Pintado, Marlon Dumas:
Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. ICPM 2023: 1-8 - [c213]Mahmoud Shoush, Marlon Dumas:
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes. PMAI@IJCAI 2023: 1-12 - [c212]Katsiaryna Lashkevich, Lino Moises Mediavilla Ponce, Manuel Camargo, Fredrik Milani
, Marlon Dumas:
Discovery of Improvement Opportunities in Knock-Out Checks of Business Processes. RCIS 2023: 381-397 - [d8]David Chapela-Campa
, Ismail Benchekroun, Opher Baron, Marlon Dumas
, Dmitry Krass, Arik Senderovich:
Evaluation datasets and results of the paper "Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models". Version 1.0. Zenodo, 2023 [all versions] - [d7]David Chapela-Campa
, Marlon Dumas
:
Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays". Version 4.0. Zenodo, 2023 [all versions] - [i61]Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CoRR abs/2303.03572 (2023) - [i60]David Chapela-Campa, Ismail Benchekroun, Opher Baron
, Marlon Dumas, Dmitry Krass, Arik Senderovich:
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models. CoRR abs/2303.17463 (2023) - [i59]Mahmoud Shoush, Marlon Dumas:
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach. CoRR abs/2307.06564 (2023) - [i58]Muhammad Awais Ali, Marlon Dumas, Fredrik Milani:
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes. CoRR abs/2312.05560 (2023) - 2022
- [j106]Veronika Plotnikova, Marlon Dumas
, Fredrik P. Milani
:
Applying the CRISP-DM data mining process in the financial services industry: Elicitation of adaptation requirements. Data Knowl. Eng. 139: 102013 (2022) - [j105]Jongchan Kim
, Marco Comuzzi
, Marlon Dumas
, Fabrizio Maria Maggi
, Irene Teinemaa
:
Encoding resource experience for predictive process monitoring. Decis. Support Syst. 153: 113669 (2022) - [j104]Orlenys López-Pintado
, Marlon Dumas
, Luciano García-Bañuelos
, Ingo Weber
:
Controlled flexibility in blockchain-based collaborative business processes. Inf. Syst. 104: 101622 (2022) - [j103]Volodymyr Leno
, Adriano Augusto
, Marlon Dumas
, Marcello La Rosa
, Fabrizio Maria Maggi, Artem Polyvyanyy
:
Discovering data transfer routines from user interaction logs. Inf. Syst. 107: 101916 (2022) - [j102]Dirk Fahland
, Chiara Ghidini, Marlon Dumas
, Manfred Reichert:
Special issue: BPM 2020 Selected Papers in Foundations and Engineering. Inf. Syst. 109: 102093 (2022) - [j101]David Chapela-Campa
, Marlon Dumas
, Manuel Mucientes, Manuel Lama:
Efficient edge filtering of directly-follows graphs for process mining. Inf. Sci. 610: 830-846 (2022) - [j100]Stephan A. Fahrenkrog-Petersen
, Niek Tax
, Irene Teinemaa
, Marlon Dumas
, Massimiliano de Leoni
, Fabrizio Maria Maggi
, Matthias Weidlich
:
Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowl. Inf. Syst. 64(2): 559-587 (2022) - [j99]Kateryna Kubrak
, Fredrik Milani
, Alexander Nolte
, Marlon Dumas:
Prescriptive process monitoring: Quo vadis? PeerJ Comput. Sci. 8: e1097 (2022) - [j98]Marlon Dumas
, Luciano García-Bañuelos
, Joosep Jääger, Peeter Laud
, Raimundas Matulevicius
, Alisa Pankova, Martin Pettai, Pille Pullonen-Raudvere
, Aivo Toots, Reedik Tuuling, Maksym Yerokhin
:
Multi-level privacy analysis of business processes: the Pleak toolset. Int. J. Softw. Tools Technol. Transf. 24(2): 183-203 (2022) - [j97]Adriano Augusto
, Abel Armas-Cervantes
, Raffaele Conforti
, Marlon Dumas
, Marcello La Rosa
:
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. IEEE Trans. Knowl. Data Eng. 34(4): 1870-1888 (2022) - [c211]Pavlo Tertychnyi, Tommy Lindström, Changling Liu, Marlon Dumas:
Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information. IEEE Big Data 2022: 2383-2388 - [c210]Mahmoud Shoush
, Marlon Dumas
:
When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints. BPM (Forum) 2022: 207-223 - [c209]Orlenys López-Pintado, Marlon Dumas
:
Business Process Simulation with Differentiated Resources: Does it Make a Difference? BPM 2022: 361-378 - [c208]Manuel Camargo
, Marlon Dumas
, Oscar González Rojas
:
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning. CAiSE 2022: 55-71 - [c207]Orlenys López-Pintado, Iryna Halenok, Marlon Dumas:
Prosimos: Discovering and Simulating Business Processes with Differentiated Resources. EDOC Workshops 2022: 346-352 - [c206]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Amun: A tool for Differentially Private Release of Event Logs for Process Mining (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 56-60 - [c205]David Chapela-Campa
, Marlon Dumas:
Modeling Extraneous Activity Delays in Business Process Simulation. ICPM 2022: 72-79 - [c204]Zahra Dasht Bozorgi, Aleksei Kopolov, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 108-112 - [c203]Daniel Barón-Espitia, Marlon Dumas, Oscar González Rojas:
Coral: Conversational What-If Process Analysis (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 118-122 - [c202]Gamal Elkoumy, Marlon Dumas:
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling. ICPM 2022: 144-151 - [c201]Katsiaryna Lashkevich, Fredrik Milani
, David Chapela-Campa
, Marlon Dumas
:
Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes. RCIS 2022: 231-247 - [p15]Marlon Dumas
, Marcello La Rosa, Volodymyr Leno, Artem Polyvyanyy, Fabrizio Maria Maggi:
Robotic Process Mining. Process Mining Handbook 2022: 468-491 - [d6]David Chapela-Campa
, Marlon Dumas
:
Evaluation datasets and results for the paper "Modeling Extraneous Activity Delays in Business Process Simulation". Version 1.0. Zenodo, 2022 [all versions] - [d5]David Chapela-Campa
, Marlon Dumas
:
Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays". Version 2.0. Zenodo, 2022 [all versions] - [d4]David Chapela-Campa
, Marlon Dumas
:
Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays". Version 3.0. Zenodo, 2022 [all versions] - [i57]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Differentially Private Release of Event Logs for Process Mining. CoRR abs/2201.03010 (2022) - [i56]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:
Augmented Business Process Management Systems: A Research Manifesto. CoRR abs/2201.12855 (2022) - [i55]Mahmoud Shoush, Marlon Dumas
:
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints. CoRR abs/2206.07745 (2022) - [i54]Gamal Elkoumy, Marlon Dumas
:
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling. CoRR abs/2206.13050 (2022) - [i53]David Chapela-Campa, Marlon Dumas
:
Modeling Extraneous Activity Delays in Business Process Simulation. CoRR abs/2206.14051 (2022) - [i52]Orlenys López-Pintado, Marlon Dumas
:
Business Process Simulation with Differentiated Resources: Does it Make a Difference? CoRR abs/2208.07928 (2022) - [i51]David Chapela-Campa, Marlon Dumas
:
Repairing Activity Start Times to Improve Business Process Simulation. CoRR abs/2208.12224 (2022) - [i50]Katsiaryna Lashkevich, Fredrik Milani
, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. CoRR abs/2212.01392 (2022) - [i49]Mahmoud Shoush, Marlon Dumas:
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes. CoRR abs/2212.03710 (2022) - 2021
- [j96]Volodymyr Leno
, Artem Polyvyanyy
, Marlon Dumas
, Marcello La Rosa, Fabrizio Maria Maggi:
Robotic Process Mining: Vision and Challenges. Bus. Inf. Syst. Eng. 63(3): 301-314 (2021) - [j95]Niels Martin
, Dominik Andreas Fischer, Georgi Dimov Kerpedzhiev, Kanika Goel
, Sander J. J. Leemans
, Maximilian Röglinger, Wil M. P. van der Aalst
, Marlon Dumas
, Marcello La Rosa, Moe Thandar Wynn:
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Bus. Inf. Syst. Eng. 63(5): 511-527 (2021) - [j94]Bedilia Estrada-Torres
, Manuel Camargo
, Marlon Dumas
, Luciano García-Bañuelos
, Ibrahim Mahdy, Maksym Yerokhin
:
Discovering business process simulation models in the presence of multitasking and availability constraints. Data Knowl. Eng. 134: 101897 (2021) - [j93]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Utility-aware Event Log Anonymization for Privacy-Preserving Process Mining. EMISA Forum 41(1): 37-38 (2021) - [j92]Mieke Jans
, Jochen De Weerdt
, Benoît Depaire
, Marlon Dumas
, Gert Janssenswillen:
Conformance Checking in Process Mining. Inf. Syst. 102: 101851 (2021) - [j91]Farbod Taymouri, Marcello La Rosa, Marlon Dumas
, Fabrizio Maria Maggi:
Business process variant analysis: Survey and classification. Knowl. Based Syst. 211: 106557 (2021) - [j90]Manuel Camargo
, Marlon Dumas
, Oscar González Rojas
:
Discovering generative models from event logs: data-driven simulation vs deep learning. PeerJ Comput. Sci. 7: e577 (2021) - [j89]Adriano Augusto
, Marlon Dumas
, Marcello La Rosa, Sander J. J. Leemans
, Seppe K. L. M. vanden Broucke:
Optimization framework for DFG-based automated process discovery approaches. Softw. Syst. Model. 20(4): 1245-1270 (2021) - [c200]Marlon Dumas:
Constructing Digital Twins for Accurate and Reliable What-If Business Process Analysis. Problems@BPM 2021: 23-27 - [c199]Orlenys López-Pintado, Marlon Dumas
, Maksym Yerokhin
, Fabrizio Maria Maggi:
Silhouetting the Cost-Time Front: Multi-objective Resource Optimization in Business Processes. BPM (Forum) 2021: 92-108 - [c198]Gamal Elkoumy, Alisa Pankova, Marlon Dumas
:
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining. ICPM 2021: 80-87 - [c197]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas
, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. ICPM 2021: 96-103 - [c196]Mahmoud Shoush
, Marlon Dumas
:
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. ICPM Workshops 2021: 180-193 - [c195]Veronika Plotnikova, Marlon Dumas
, Fredrik Milani
:
Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain. RCIS 2021: 55-71 - [c194]Marlon Dumas:
Mine Your Simulation Model: Automated Discovery of Business Process Simulation Models from Execution Data. SIMULTECH 2021: 5 - [e13]Ladjel Bellatreche
, Marlon Dumas
, Panagiotis Karras
, Raimundas Matulevicius
, Ahmed Awad
, Matthias Weidlich
, Mirjana Ivanovic
, Olaf Hartig
:
New Trends in Database and Information Systems - ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings. Communications in Computer and Information Science 1450, Springer 2021, ISBN 978-3-030-85081-4 [contents] - [e12]Ladjel Bellatreche
, Marlon Dumas
, Panagiotis Karras
, Raimundas Matulevicius
:
Advances in Databases and Information Systems - 25th European Conference, ADBIS 2021, Tartu, Estonia, August 24-26, 2021, Proceedings. Lecture Notes in Computer Science 12843, Springer 2021, ISBN 978-3-030-82471-6 [contents] - [d3]Gamal Elkoumy
, Alisa Pankova, Marlon Dumas
:
Differentially Private Event Logs for Process Mining: Supplementary Material. Zenodo, 2021 - [d2]Gamal Elkoumy
, Alisa Pankova, Marlon Dumas
:
Differentially Private Release of Event Logs for Process Mining. Zenodo, 2021 - [i48]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining. CoRR abs/2103.11739 (2021) - [i47]Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning. CoRR abs/2103.11944 (2021) - [i46]Adriano Augusto, Marlon Dumas, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. CoRR abs/2105.06016 (2021) - [i45]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. CoRR abs/2105.07111 (2021) - [i44]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Discovering executable routine specifications from user interaction logs. CoRR abs/2106.13446 (2021) - [i43]Mahmoud Shoush, Marlon Dumas:
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. CoRR abs/2109.02894 (2021) - [i42]Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas:
Prescriptive Process Monitoring: Quo Vadis? CoRR abs/2112.01769 (2021) - [i41]Adriano Augusto, Ahmed Awad, Marlon Dumas:
Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs. CoRR abs/2112.04623 (2021) - 2020
- [j88]Manuel Camargo
, Marlon Dumas
, Oscar González
:
Automated discovery of business process simulation models from event logs. Decis. Support Syst. 134: 113284 (2020) - [j87]Volodymyr Leno
, Marlon Dumas
, Fabrizio Maria Maggi, Marcello La Rosa, Artem Polyvyanyy
:
Automated discovery of declarative process models with correlated data conditions. Inf. Syst. 89: 101482 (2020) - [j86]Daniel Reißner
, Abel Armas-Cervantes
, Raffaele Conforti, Marlon Dumas
, Dirk Fahland
, Marcello La Rosa:
Scalable alignment of process models and event logs: An approach based on automata and S-components. Inf. Syst. 94: 101561 (2020) - [j85]Veronika Plotnikova, Marlon Dumas
, Fredrik Milani
:
Adaptations of data mining methodologies: a systematic literature review. PeerJ Comput. Sci. 6: e267 (2020) - [c193]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen
, Marlon Dumas, Peeter Laud
, Alisa Pankova, Matthias Weidlich:
Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining. BPM (PhD/Demos) 2020: 72-76 - [c192]Volodymyr Leno
, Stanislav Deviatykh, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs. BPM (PhD/Demos) 2020: 102-106 - [c191]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen
, Marlon Dumas
, Peeter Laud, Alisa Pankova, Matthias Weidlich
:
Secure Multi-party Computation for Inter-organizational Process Mining. BPMDS/EMMSAD@CAiSE 2020: 166-181 - [c190]Pavlo Tertychnyi, Ivan Slobozhan, Madis Ollikainen, Marlon Dumas
:
Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach. FinanceCom 2020: 43-58 - [c189]Adriano Augusto, Marlon Dumas
, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. ICPM Workshops 2020: 43-56 - [c188]Zahra Dasht Bozorgi
, Irene Teinemaa, Marlon Dumas
, Marcello La Rosa, Artem Polyvyanyy
:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. ICPM 2020: 129-136 - [c187]