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ORCIDMarlon Dumas
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- affiliation: University of Tartu, Estonia
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2020 – today
- 2022
[j101]Jongchan Kim
, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa:
Encoding resource experience for predictive process monitoring. Decis. Support Syst. 153: 113669 (2022)- [j100]Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Controlled flexibility in blockchain-based collaborative business processes. Inf. Syst. 104: 101622 (2022) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [c201]Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Marlon Dumas:
Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes. RCIS 2022: 231-247 - [i50]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Differentially Private Release of Event Logs for Process Mining. CoRR abs/2201.03010 (2022) - [i49]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) - 2021
- [j95]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) - [j94]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) - [j93]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) - [j92]Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Utility-aware Event Log Anonymization for Privacy-Preserving Process Mining. EMISA Forum 41(1): 37-38 (2021) - [j91]Mieke Jans, Jochen De Weerdt, Benoît Depaire, Marlon Dumas, Gert Janssenswillen:
Conformance Checking in Process Mining. Inf. Syst. 102: 101851 (2021) - [j90]Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Business process variant analysis: Survey and classification. Knowl. Based Syst. 211: 106557 (2021) - [j89]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) - [j88]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] - [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
- [j87]Manuel Camargo, Marlon Dumas, Oscar González:
Automated discovery of business process simulation models from event logs. Decis. Support Syst. 134: 113284 (2020) - [j86]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) - [j85]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) - [j84]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] - [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
- [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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]Benoît Depaire, Johannes De Smedt, Marlon Dumas, Dirk Fahland, Akhil Kumar, Henrik Leopold, Manfred Reichert, Stefanie Rinderle-Ma, Stefan Schulte, Stefan Seidel, Wil M. P. van der Aalst:
Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, September 1-6, 2019. CEUR Workshop Proceedings 2420, CEUR-WS.org 2019 [contents] - [e8]Marlon Dumas, Dietmar Pfahl, Sven Apel, Alessandra Russo:
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26-30, 2019. ACM 2019, ISBN 978-1-4503-5572-8 [contents] - [r4]Marlon Dumas, Jan Mendling:
Business Process Event Logs and Visualization. Encyclopedia of Big Data Technologies 2019 - [r3]Marlon Dumas, Matthias Weidlich:
Business Process Analytics. Encyclopedia of Big Data Technologies 2019 - [i33]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. CoRR abs/1902.05052 (2019) - [i32]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. CoRR abs/1905.09568 (2019) - [i31]Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Interpreted Execution of Business Process Models on Blockchain. CoRR abs/1906.01420 (2019) - [i30]Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Automated Discovery of Business Process Simulation Models from Event Logs. CoRR abs/1910.05404 (2019) - [i29]Daniël 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. CoRR abs/1910.09767 (2019) - [i28]Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Business Process Variant Analysis: Survey and Classification. CoRR abs/1911.07582 (2019) - [i27]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich:
Secure Multi-Party Computation for Inter-Organizational Process Mining. CoRR abs/1912.01855 (2019) - 2018
- [b3]Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers:
Fundamentals of Business Process Management, Second Edition. Springer 2018, ISBN 978-3-662-56508-7, pp. 1-527 - [j71]Irene Teinemaa, Marlon Dumas, Anna Leontjeva, Fabrizio Maria Maggi:
Temporal stability in predictive process monitoring. Data Min. Knowl. Discov. 32(5): 1306-1338 (2018) - [j70]Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Giorgio Bruno:
Automated discovery of structured process models from event logs: The discover-and-structure approach. Data Knowl. Eng. 117: 373-392 (2018) - [j69]Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Luca Simonetto:
Genetic algorithms for hyperparameter optimization in predictive business process monitoring. Inf. Syst. 74(Part): 67-83 (2018) - [j68]Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa:
Semantics, Analysis and Simplification of DMN Decision Tables. Inf. Syst. 78: 112-125 (2018) - [j67]Yain-Whar Si, Veng-Ian Chan, Marlon Dumas, Defu Zhang:
A Petri Nets based Generic Genetic Algorithm framework for resource optimization in business processes. Simul. Model. Pract. Theory 86: 72-101 (2018) - [j66]Jan Mendling, Ingo Weber, Wil M. P. van der Aalst, Jan vom Brocke, Cristina Cabanillas, Florian Daniel, Søren Debois, Claudio Di Ciccio, Marlon Dumas, Schahram Dustdar, Avigdor Gal, Luciano García-Bañuelos, Guido Governatori, Richard Hull, Marcello La Rosa, Henrik Leopold, Frank Leymann, Jan Recker, Manfred Reichert, Hajo A. Reijers, Stefanie Rinderle-Ma, Andreas Solti, Michael Rosemann, Stefan Schulte, Munindar P. Singh, Tijs Slaats, Mark Staples, Barbara Weber, Matthias Weidlich, Mathias Weske, Xiwei Xu, Liming Zhu:
Blockchains for Business Process Management - Challenges and Opportunities. ACM Trans. Manag. Inf. Syst. 9(1): 4:1-4:16 (2018) - [j65]Luciano García-Bañuelos, Nick van Beest, Marlon Dumas, Marcello La Rosa, Willem Mertens:
Complete and Interpretable Conformance Checking of Business Processes. IEEE Trans. Software Eng. 44(3): 262-290 (2018) - [c175]Marlon Dumas:
Business Process Analytics: From Insights to Predictions. DB&IS 2018: 15-20 - [c174]Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi:
Alarm-Based Prescriptive Process Monitoring. BPM (Forum) 2018: 91-107 - [c173]Adriano Augusto, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Daniel Reißner:
Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery. BPM 2018: 158-175 - [c172]Volodymyr Leno, Marlon Dumas, Fabrizio Maria Maggi:
Correlating Activation and Target Conditions in Data-Aware Declarative Process Discovery. BPM 2018: 176-193 - [c171]Artem Mateush, Rajesh Sharma, Marlon Dumas, Veronika Plotnikova, Ivan Slobozhan, Jaan Übi:
Building Payment Classification Models from Rules and Crowdsourced Labels: A Case Study. CAiSE Workshops 2018: 85-97 - [c170]Ilya Verenich, Stanislav Mõskovski, Simon Raboczi, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Predictive Process Monitoring in Apromore. CAiSE Forum 2018: 244-253 - [c169]Hoang Nguyen, Marlon Dumas, Marcello La Rosa, Arthur H. M. ter Hofstede:
Multi-perspective Comparison of Business Process Variants Based on Event Logs. ER 2018: 449-459 - [c168]Marlon Dumas, Luciano García-Bañuelos, Peeter Laud:
Disclosure Analysis of SQL Workflows. GraMSec@FLoC 2018: 51-70 - [c167]Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Discovering process maps from event streams. ICSSP 2018: 86-95 - [e7]Wil M. P. van der Aalst, Fabio Casati, Raffaele Conforti, Massimiliano de Leoni, Marlon Dumas, Akhil Kumar, Jan Mendling, Surya Nepal, Brian T. Pentland, Barbara Weber:
Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018 co-located with 16th International Conference on Business Process Management (BPM 2018), Sydney, Australia, September 9-14, 2018. CEUR Workshop Proceedings 2196, CEUR-WS.org 2018 [contents] - [r2]Marlon Dumas:
Business Process Modeling. Encyclopedia of Database Systems (2nd ed.) 2018 - [i26]Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi:
Foundations of Prescriptive Process Monitoring. CoRR abs/1803.08706 (2018) - [i25]Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Discovering Process Maps from Event Streams. CoRR abs/1804.02704 (2018) - [i24]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. CoRR abs/1805.02896 (2018) - [i23]Diego Calvanese, Marlon Dumas, Fabrizio Maria Maggi, Marco Montali:
Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge. CoRR abs/1807.11615 (2018) - [i22]Orlenys López-Pintado, Luciano García-Bañuelos, Marlon Dumas, Ingo Weber, Alexander Ponomarev:
CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain. CoRR abs/1808.03517 (2018) - [i21]