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ORCIDMarlon Dumas
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- affiliation: University of Tartu, Estonia
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2020 – today
- 2023
[j109]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)- [j108]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Differentially private release of event logs for process mining. Inf. Syst. 115: 102161 (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) - [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 - [i59]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) - [i58]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) - 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. 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 - [d4]David Chapela-Campa, Marlon Dumas:
Evaluation datasets and results for the paper "Modeling Extraneous Activity Delays in Business Process Simulation". Zenodo, 2022
- [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]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs. ICPM 2020: 153-160 - [c186]Sara Belluccini, Rocco De Nicola, Marlon Dumas, Pille Pullonen, Barbara Re, Francesco Tiezzi:
Verification of Privacy-Enhanced Collaborations. FormaliSE@ICSE 2020: 141-152 - [c185]Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin:
Discovering Business Process Simulation Models in the Presence of Multitasking. RCIS 2020: 381-397 - [e11]Dirk Fahland, Chiara Ghidini, Jörg Becker, Marlon Dumas:
Business Process Management Forum - BPM Forum 2020, Seville, Spain, September 13-18, 2020, Proceedings. Lecture Notes in Business Information Processing 392, Springer 2020, ISBN 978-3-030-58637-9 [contents] - [e10]Dirk Fahland, Chiara Ghidini, Jörg Becker, Marlon Dumas:
Business Process Management - 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings. Lecture Notes in Computer Science 12168, Springer 2020, ISBN 978-3-030-58665-2 [contents] - [d1]Mathias Weske, Gero Decker, Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers:
Model Collection of the Business Process Management Academic Initiative. Zenodo, 2020 - [i40]Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Automated Discovery of Data Transformations for Robotic Process Automation. CoRR abs/2001.01007 (2020) - [i39]Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin:
Discovering Business Process Simulation Models in the Presence of Multitasking. CoRR abs/2004.09138 (2020) - [i38]Abderrahmane Maaradji, Marlon Dumas, Marcello La Rosa, Alireza Ostovar:
Detecting sudden and gradual drifts in business processes from execution traces. CoRR abs/2005.04016 (2020) - [i37]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying candidate routines for Robotic Process Automation from unsegmented UI logs. CoRR abs/2008.05782 (2020) - [i36]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. CoRR abs/2009.01561 (2020) - [i35]Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning. CoRR abs/2009.03567 (2020) - [i34]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining. CoRR abs/2012.01119 (2020)
2010 – 2019
- 2019
- [j84]Claudio Di Ciccio, Alessio Cecconi, Marlon Dumas, Luciano García-Bañuelos, Orlenys López-Pintado, Qinghua Lu, Jan Mendling, Alexander Ponomarev, An Binh Tran, Ingo Weber:
Blockchain Support for Collaborative Business Processes. Inform. Spektrum 42(3): 182-190 (2019) - [j83]Aivo Toots, Reedik Tuuling, Maksym Yerokhin, Marlon Dumas, Luciano García-Bañuelos, Peeter Laud, Raimundas Matulevicius, Alisa Pankova, Martin Pettai, Pille Pullonen, Jake Tom:
Business Process Privacy Analysis in Pleak - (Extended Abstract). Inform. Spektrum 42(5): 354-355 (2019) - [j82]Hoang Nguyen, Marlon Dumas, Arthur H. M. ter Hofstede, Marcello La Rosa, Fabrizio Maria Maggi:
Stage-based discovery of business process models from event logs. Inf. Syst. 84: 214-237 (2019) - [j81]Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Split miner: automated discovery of accurate and simple business process models from event logs. Knowl. Inf. Syst. 59(2): 251-284 (2019) - [j80]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Hoang Nguyen:
Predicting process performance: A white-box approach based on process models. J. Softw. Evol. Process. 31(6) (2019) - [j79]Orlenys López-Pintado, Luciano García-Bañuelos, Marlon Dumas, Ingo Weber, Alexander Ponomarev:
Caterpillar: A business process execution engine on the Ethereum blockchain. Softw. Pract. Exp. 49(7): 1162-1193 (2019) - [j78]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Trans. Intell. Syst. Technol. 10(4): 34:1-34:34 (2019) - [j77]Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. ACM Trans. Knowl. Discov. Data 13(2): 17:1-17:57 (2019) - [j76]Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella, Allar Soo:
Automated Discovery of Process Models from Event Logs: Review and Benchmark. IEEE Trans. Knowl. Data Eng. 31(4): 686-705 (2019) - [j75]Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Abderrahmane Maaradji:
Local Concurrency Detection in Business Process Event Logs. ACM Trans. Internet Techn. 19(1): 16:1-16:23 (2019) - [j74]Diego Calvanese, Marco Montali, Marlon Dumas, Fabrizio Maria Maggi:
Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge. Theory Pract. Log. Program. 19(4): 536-573 (2019) - [j73]Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa:
Clustering-Based Predictive Process Monitoring. IEEE Trans. Serv. Comput. 12(6): 896-909 (2019) - [c184]Veronika Plotnikova, Marlon Dumas, Fredrik P. Milani:
Data Mining Methodologies in the Banking Domain: A Systematic Literature Review. BIR 2019: 104-118 - [c183]Volodymyr Leno, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Action Logger: Enabling Process Mining for Robotic Process Automation. BPM (PhD/Demos) 2019: 124-128 - [c182]Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Simod: A Tool for Automated Discovery of Business Process Simulation Models. BPM (PhD/Demos) 2019: 139-143 - [c181]Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino:
Discovering Automatable Routines from User Interaction Logs. BPM Forum 2019: 144-162 - [c180]Adriano Augusto, Marlon Dumas, Marcello La Rosa:
Metaheuristic Optimization for Automated Business Process Discovery. BPM 2019: 268-285 - [c179]Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Learning Accurate LSTM Models of Business Processes. BPM 2019: 286-302 - [c178]Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Dynamic Role Binding in Blockchain-Based Collaborative Business Processes. CAiSE 2019: 399-414 - [c177]Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Interpreted Execution of Business Process Models on Blockchain. EDOC 2019: 206-215 - [c176]Aivo Toots, Reedik Tuuling, Maksym Yerokhin, Marlon Dumas, Luciano García-Bañuelos, Peeter Laud, Raimundas Matulevicius, Alisa Pankova, Martin Pettai, Pille Pullonen, Jake Tom:
Business Process Privacy Analysis in Pleak. FASE 2019: 306-312 - [p14]Jan Mendling, Marlon Dumas, Marcello La Rosa, Hajo A. Reijers:
Structuring Business Process Management. The Art of Structuring 2019: 203-211 - [e9]