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ORCIDDirk Fahland
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- affiliation: Eindhoven Univesity of Technology, The Netherlands
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2020 – today
- 2024
[c88]Alessandro Berti, Urszula Jessen, Wil M. P. van der Aalst, Dirk Fahland:
Explainable Object-Centric Anomaly Detection: the Role of Domain Knowledge. BPM (Demos / Resources Forum) 2024: 162-168- [c87]Eva L. Klijn
, Felix Mannhardt, Dirk Fahland:
Multi-perspective Concept Drift Detection: Including the Actor Perspective. CAiSE 2024: 141-157 - [c86]Axel Kjeld Fjelrad Christfort, Andrey Rivkin, Dirk Fahland, Thomas T. Hildebrandt, Tijs Slaats:
Discovery of Object-Centric Declarative Models. ICPM 2024: 121-128 - [c85]Eva L. Klijn, Irina Tentina, Dirk Fahland, Felix Mannhardt:
Decomposing Process Performance based on Actor Behavior. ICPM 2024: 129-136 - [i19]Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels:
How well can large language models explain business processes? CoRR abs/2401.12846 (2024) - [i18]Alessandro Berti, Urszula Jessen, Wil M. P. van der Aalst, Dirk Fahland:
Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge. CoRR abs/2407.09023 (2024) - [i17]Urszula Jessen, Dirk Fahland:
WISE: Unraveling Business Process Metrics with Domain Knowledge. CoRR abs/2410.04387 (2024) - [i16]Dirk Fahland, Marco Montali, Julian Lebherz, Wil M. P. van der Aalst, Maarten van Asseldonk, Peter Blank, Lien Bosmans, Marcus Brenscheidt, Claudio Di Ciccio, Andrea Delgado, Daniel Calegari, Jari Peeperkorn, Eric Verbeek, Lotte Vugs, Moe Thandar Wynn:
Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) - Core Model, Design Space, and Lessons Learned. CoRR abs/2410.14495 (2024) - 2023
- [j28]Dominique Sommers, Vlado Menkovski, Dirk Fahland:
Supervised learning of process discovery techniques using graph neural networks. Inf. Syst. 115: 102209 (2023) - [j27]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) - [c84]Bianka Bakullari, Jules van Thoor, Dirk Fahland, Wil M. P. van der Aalst:
The Interplay Between High-Level Problems and the Process Instances that Give Rise to Them. BPM (Forum) 2023: 145-162 - [c83]Ava Swevels, Remco M. Dijkman, Dirk Fahland:
Inferring Missing Entity Identifiers from Context Using Event Knowledge Graphs. BPM 2023: 180-197 - [c82]Eric Verbeek, Dirk Fahland:
Generating event logs with CPN IDE. ICPM Doctoral Consortium / Demo 2023 - [c81]Eva L. Klijn, Dennis Preuss, Lulzim Imeri, Florin Baumann, Felix Mannhardt, Dirk Fahland:
Event Knowledge Graphs for Auditing: A Case Study. ICPM Workshops 2023: 84-97 - [c80]Ava Swevels, Dirk Fahland, Marco Montali:
Implementing Object-Centric Event Data Models in Event Knowledge Graphs. ICPM Workshops 2023: 431-443 - [c79]Ava Swevels, Eva L. Klijn, Dirk Fahland:
Object-Centric Process Mining (and more) using a Graph-Based Approach with PromG. ICPM Doctoral Consortium / Demo 2023 - [c78]Bavo Coremans, Arjen L. Klomp, Satrio Adi Rukmono, Jacob Krüger, Dirk Fahland, Michel R. V. Chaudron:
Process Mining from Jira Issues at a Large Company. ICSME 2023: 425-435 - [c77]Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels:
Why are my Pizzas late? PMAI@IJCAI 2023: 25-28 - [e7]Dirk Fahland, Andrés Jiménez-Ramírez, Akhil Kumar, Jan Mendling, Brian T. Pentland, Stefanie Rinderle-Ma, Tijs Slaats, Johan Versendaal, Barbara Weber, Mathias Weske, Karolin Winter:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2023 co-located with 21st International Conference on Business Process Management (BPM 2023), Utrecht, The Netherlands, September 11th to 15th, 2023. CEUR Workshop Proceedings 3469, CEUR-WS.org 2023 [contents] - [d1]Bavo Coremans, Arjen L. Klomp, Satrio Adi Rukmono, Jacob Krüger, Dirk Fahland, Michel R. V. Chaudron:
Process Mined from Jira Issues at a Large Company. Zenodo, 2023
- [i15]Urszula Jessen, Michal Sroka, Dirk Fahland:
Chit-Chat or Deep Talk: Prompt Engineering for Process Mining. CoRR abs/2307.09909 (2023) - [i14]Bianka Bakullari, Jules van Thoor, Dirk Fahland, Wil M. P. van der Aalst:
The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them. CoRR abs/2309.01571 (2023) - 2022
- [j26]Dirk Fahland, Chiara Ghidini, Marlon Dumas, Manfred Reichert:
Special issue: BPM 2020 Selected Papers in Foundations and Engineering. Inf. Syst. 109: 102093 (2022) - [j25]Mitchel Brunings, Dirk Fahland, Boudewijn F. van Dongen:
Defining Meaningful Local Process Models. Trans. Petri Nets Other Model. Concurr. 16: 24-48 (2022) - [c76]Dirk Fahland:
Multi-dimensional Process Analysis. BPM 2022: 27-33 - [c75]Mitchel Brunings, Dirk Fahland, Eric Verbeek:
Discover Context-Rich Local Process Models (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 100-103 - [c74]Eva L. Klijn, Felix Mannhardt, Dirk Fahland:
Aggregating Event Knowledge Graphs for Task Analysis. ICPM Workshops 2022: 493-505 - [p4]Dirk Fahland:
Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs. Process Mining Handbook 2022: 274-319 - [i13]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) - [i12]Dirk Fahland:
Extracting and Pre-Processing Event Logs. CoRR abs/2211.04338 (2022) - 2021
- [j24]Teun Graafmans, Oktay Türetken, Hans Poppelaars, Dirk Fahland:
Process Mining for Six Sigma. Bus. Inf. Syst. Eng. 63(3): 277-300 (2021) - [j23]Dirk Fahland, Vadim Denisov, Wil M. P. van der Aalst:
Inferring Unobserved Events in Systems with Shared Resources and Queues. Fundam. Informaticae 183(3-4): 203-242 (2021) - [j22]Stefan Esser, Dirk Fahland:
Multi-Dimensional Event Data in Graph Databases. J. Data Semant. 10(1-2): 109-141 (2021) - [c73]Eva L. Klijn, Felix Mannhardt, Dirk Fahland:
Classifying and Detecting Task Executions and Routines in Processes Using Event Graphs. BPM (Forum) 2021: 212-229 - [c72]Dennis Brons, Roeland Scheepens, Dirk Fahland:
Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner. ICPM 2021: 32-39 - [c71]Dominique Sommers, Vlado Menkovski, Dirk Fahland:
Process Discovery Using Graph Neural Networks. ICPM 2021: 40-47 - [p3]Dirk Fahland:
Process-Mining: Prozessanalyse mit Ereignisdaten. Prozessmanagement und Process-Mining - Grundlagen 2021: 165-198- - [p2]Dirk Fahland, Luise Pufahl, Agnes Koschmider:
Automatische Prozessaufnahme mit Process Discovery. Prozessmanagement und Process-Mining - Grundlagen 2021: 235-268- - [i11]Dirk Fahland, Vadim Denisov, Wil M. P. van der Aalst:
Inferring Unobserved Events in Systems With Shared Resources and Queues. CoRR abs/2103.00167 (2021) - [i10]Dominique Sommers, Vlado Menkovski, Dirk Fahland:
Process Discovery Using Graph Neural Networks. CoRR abs/2109.05835 (2021) - [i9]Dennis Brons, Roeland Scheepens, Dirk Fahland:
Striking a new balance in accuracy and simplicity with the Probabilistic Inductive Miner. CoRR abs/2109.06288 (2021) - 2020
- [j21]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) - [j20]Sander J. J. Leemans, Dirk Fahland:
Information-preserving abstractions of event data in process mining. Knowl. Inf. Syst. 62(3): 1143-1197 (2020) - [c70]Mitchel Brunings, Dirk Fahland, Boudewijn F. van Dongen:
Defining meaningful Local Process Models. ATAED@Petri Nets 2020: 6-19 - [c69]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Repairing Event Logs with Missing Events to Support Performance Analysis of Systems with Shared Resources. Petri Nets 2020: 239-259 - [c68]Wil M. P. van der Aalst, Daniel Tacke genannt Unterberg, Vadim Denisov, Dirk Fahland:
Visualizing Token Flows Using Interactive Performance Spectra. Petri Nets 2020: 369-380 - [c67]Zahra Toosinezhad, Dirk Fahland, Özge Köroglu, Wil M. P. van der Aalst:
Detecting System-Level Behavior Leading To Dynamic Bottlenecks. ICPM 2020: 17-24 - [c66]Eva L. Klijn, Dirk Fahland:
Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics. ICPM 2020: 25-32 - [c65]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Multi-Dimensional Performance Analysis and Monitoring Using Integrated Performance Spectra. ICPM Doctoral Consortium / Tools 2020: 27-30 - [e6]Ralf Laue, Agnes Koschmider, Dirk Fahland:
Prozessmanagement und Process-Mining - Grundlagen. De Gruyter Studium, De Gruyter 2020, ISBN 978-3-11-050015-8 [contents] - [e5]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] - [e4]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] - [i8]Stefan Esser, Dirk Fahland:
Multi-Dimensional Event Data in Graph Databases. CoRR abs/2005.14552 (2020)
2010 – 2019
- 2019
- [c64]Dirk Fahland:
Describing Behavior of Processes with Many-to-Many Interactions. Petri Nets 2019: 3-24 - [c63]Eva L. Klijn, Dirk Fahland:
Performance Mining for Batch Processing Using the Performance Spectrum. Business Process Management Workshops 2019: 172-185 - [c62]Stefan Esser, Dirk Fahland:
Storing and Querying Multi-dimensional Process Event Logs Using Graph Databases. Business Process Management Workshops 2019: 632-644 - [c61]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum. ICPM 2019: 137-144 - [p1]Dirk Fahland:
Petri's Understanding of Nets. Carl Adam Petri: Ideas, Personality, Impact 2019: 31-36 - [e3]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] - [r1]Dirk Fahland:
Artifact-Centric Process Mining. Encyclopedia of Big Data Technologies 2019 - [i7]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) - 2018
- [j19]Mahdi Alizadeh, Xixi Lu, Dirk Fahland, Nicola Zannone, Wil M. P. van der Aalst:
Linking data and process perspectives for conformance analysis. Comput. Secur. 73: 172-193 (2018) - [j18]Dirk Fahland, Hagen Völzer:
Dynamic Skipping and Blocking and Dead Path Elimination for Cyclic Workflows. EMISA Forum 38(1): 29-30 (2018) - [j17]Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst:
The imprecisions of precision measures in process mining. Inf. Process. Lett. 135: 1-8 (2018) - [j16]Dirk Fahland, Hagen Völzer:
Dynamic skipping and blocking, dead path elimination for cyclic workflows, and a local semantics for inclusive gateways. Inf. Syst. 78: 126-143 (2018) - [j15]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Scalable process discovery and conformance checking. Softw. Syst. Model. 17(2): 599-631 (2018) - [c60]Vadim Denisov, Elena Belkina, Dirk Fahland, Wil M. P. van der Aalst:
The Performance Spectrum Miner: Visual Analytics for Fine-Grained Performance Analysis of Processes. BPM (Dissertation/Demos/Industry) 2018: 96-100 - [c59]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Unbiased, Fine-Grained Description of Processes Performance from Event Data. BPM 2018: 139-157 - [c58]Andrea Burattin, Pnina Soffer, Dirk Fahland, Jan Mendling, Hajo A. Reijers, Irene Vanderfeesten, Matthias Weidlich, Barbara Weber:
Who Is Behind the Model? Classifying Modelers Based on Pragmatic Model Features. BPM 2018: 322-338 - [e2]Ina Schaefer, Loek Cleophas, Michael Felderer, Steffen Becker, Wolfgang Böhm, Dirk Fahland, Hans-Georg Fill, Robert Heinrich, Kathrin Kirchner, Michael Köhler-Bußmeier, Marco Konersmann, Heinrich C. Mayr, Daniel Moldt, Andreas Oberweis, Felix Reher, Matthias Riebisch, Stefan Sauer, Holger Schlingloff, Bernhard Thalheim, Andreas Vogelsang, Rüdiger Weißbach, Thorsten Weyer:
Joint Proceedings of the Workshops at Modellierung 2018 co-located with Modellierung 2018, Braunschweig, Germany, February 21, 2018. CEUR Workshop Proceedings 2060, CEUR-WS.org 2018 [contents] - 2017
- [j14]Hajo A. Reijers, Irene Vanderfeesten, Marijn G. A. Plomp, Pieter Van Gorp, Dirk Fahland, Wim L. M. van der Crommert, H. Daniel Diaz Garcia:
Evaluating data-centric process approaches: Does the human factor factor in? Softw. Syst. Model. 16(3): 649-662 (2017) - [c57]Melanie Polderdijk, Irene Vanderfeesten, Jonnro Erasmus, Kostas Traganos, Tim Bosch, Gu Van Rhijn, Dirk Fahland:
A Visualization of Human Physical Risks in Manufacturing Processes Using BPMN. Business Process Management Workshops 2017: 732-743 - [c56]Xixi Lu, Dirk Fahland, Robert Andrews, Suriadi Suriadi, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst:
Semi-supervised Log Pattern Detection and Exploration Using Event Concurrence and Contextual Information. OTM Conferences (1) 2017: 154-174 - [c55]Xixi Lu, Dirk Fahland:
A Conceptual Framework for Understanding Event Data Quality for Behavior Analysis. ZEUS 2017: 11-14 - [i6]Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst:
The Imprecisions of Precision Measures in Process Mining. CoRR abs/1705.03303 (2017) - 2016
- [j13]Dirk Fahland, Xixi Lu, Marijn Nagelkerke, Dennis van de Wiel:
Discovering Interacting Artifacts from ERP Systems (Extended Abstract). EMISA Forum 36(2): 89-92 (2016) - [j12]Dirk Fahland, Andreas Meyer, Luise Pufahl, Kimon Batoulis, Mathias Weske:
Automating Data Exchange in Process Choreographies. EMISA Forum 36(2): 97-100 (2016) - [c54]Xixi Lu, Dirk Fahland, Wil M. P. van der Aalst:
Interactively Exploring Logs and Mining Models with Clustering, Filtering, and Relabeling. BPM (Demos) 2016: 44-49 - [c53]Xixi Lu, Dirk Fahland, Frank J. H. M. van den Biggelaar, Wil M. P. van der Aalst:
Handling Duplicated Tasks in Process Discovery by Refining Event Labels. BPM 2016: 90-107 - [c52]Dirk Fahland, Hagen Völzer:
Dynamic Skipping and Blocking and Dead Path Elimination for Cyclic Workflows. BPM 2016: 234-251 - [c51]Dirk Fahland, Xixi Lu, Marijn Nagelkerke, Dennis van de Wiel:
Discovering Interacting Artifacts from ERP Systems (Extended Abstract). EMISA 2016: 5-8 - [c50]Dirk Fahland, Andreas Meyer, Luise Pufahl, Kimon Batoulis, Mathias Weske:
Automating Data Exchange in Process Choreographies (Extended Abstract). EMISA 2016: 13-16 - 2015
- [j11]Viara Popova, Dirk Fahland, Marlon Dumas:
Artifact Lifecycle Discovery. Int. J. Cooperative Inf. Syst. 24(1): 1550001:1-1550001:44 (2015) - [j10]Cédric Favre, Dirk Fahland, Hagen Völzer:
The relationship between workflow graphs and free-choice workflow nets. Inf. Syst. 47: 197-219 (2015) - [j9]Dirk Fahland, Wil M. P. van der Aalst:
Model repair - aligning process models to reality. Inf. Syst. 47: 220-243 (2015) - [j8]Andreas Meyer, Luise Pufahl, Kimon Batoulis, Dirk Fahland, Mathias Weske:
Automating data exchange in process choreographies. Inf. Syst. 53: 296-329 (2015) - [j7]Jakob Pinggera, Pnina Soffer, Dirk Fahland, Matthias Weidlich, Stefan Zugal, Barbara Weber, Hajo A. Reijers, Jan Mendling:
Styles in business process modeling: an exploration and a model. Softw. Syst. Model. 14(3): 1055-1080 (2015) - [j6]Xixi Lu, Marijn Nagelkerke, Dennis van de Wiel, Dirk Fahland:
Discovering Interacting Artifacts from ERP Systems. IEEE Trans. Serv. Comput. 8(6): 861-873 (2015) - [c49]Xixi Lu, Dirk Fahland, Frank J. H. M. van den Biggelaar, Wil M. P. van der Aalst:
Detecting Deviating Behaviors Without Models. Business Process Management Workshops 2015: 126-139 - [c48]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Using Life Cycle Information in Process Discovery. Business Process Management Workshops 2015: 204-217 - [c47]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Scalable Process Discovery with Guarantees. BMMDS/EMMSAD 2015: 85-101 - [i5]Jan Claes, Irene Vanderfeesten, Hajo A. Reijers, Jakob Pinggera, Matthias Weidlich, Stefan Zugal, Dirk Fahland, Barbara Weber, Jan Mendling, Geert Poels:
Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed. CoRR abs/1511.04052 (2015) - [i4]Jakob Pinggera, Pnina Soffer, Stefan Zugal, Barbara Weber, Matthias Weidlich, Dirk Fahland, Hajo A. Reijers, Jan Mendling:
Modeling Styles in Business Process Modeling. CoRR abs/1511.04057 (2015) - 2014
- [j5]Artem Polyvyanyy, Luciano García-Bañuelos, Dirk Fahland, Mathias Weske:
Maximal Structuring of Acyclic Process Models. Comput. J. 57(1): 12-35 (2014) - [j4]Jakob Pinggera, Pnina Soffer, Dirk Fahland, Matthias Weidlich, Stefan Zugal, Barbara Weber, Hajo A. Reijers, Jan Mendling:
Styles in business process modeling: an exploration and a model (extended abstract). EMISA Forum 34(1): 39 (2014) - [c46]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Discovering Block-Structured Process Models from Incomplete Event Logs. Petri Nets 2014: 91-110 - [c45]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Process and Deviation Exploration with Inductive Visual Miner. BPM (Demos) 2014: 46 - [c44]Xixi Lu, Dirk Fahland, Wil M. P. van der Aalst:
Conformance Checking Based on Partially Ordered Event Data. Business Process Management Workshops 2014: 75-88 - [c43]Niels Lohmann, Dirk Fahland:
Where Did I Go Wrong? - Explaining Errors in Business Process Models. BPM 2014: 283-300 - [c42]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Exploring Processes and Deviations. Business Process Management Workshops 2014: 304-316 - [c41]Andreas Meyer, Luise Pufahl, Kimon Batoulis, Sebastian Kruse, Thorben Lindhauer, Thomas Stoff, Dirk Fahland, Mathias Weske:
Automating Data Exchange in Process Choreographies. CAiSE 2014: 316-331 - [c40]Xixi Lu, Ronny Mans, Dirk Fahland, Wil M. P. van der Aalst:
Conformance checking in healthcare based on partially ordered event data. ETFA 2014: 1-8 - [c39]Elham Ramezani Taghiabadi, Vladimir Gromov, Dirk Fahland, Wil M. P. van der Aalst:
Compliance Checking of Data-Aware and Resource-Aware Compliance Requirements. OTM Conferences 2014: 237-257 - 2013
- [j3]Dirk Fahland, Wil M. P. van der Aalst:
Simplifying discovered process models in a controlled manner. Inf. Syst. 38(4): 585-605 (2013) - [j2]Michael Westergaard, Dirk Fahland, Christian Stahl:
Grade/CPN: A Tool and Temporal Logic for Testing Colored Petri Net Models in Teaching. Trans. Petri Nets Other Model. Concurr. 8: 180-202 (2013) - [c38]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach. Petri Nets 2013: 311-329 - [c37]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour. Business Process Management Workshops 2013: 66-78 - [c36]Andreas Meyer, Luise Pufahl, Dirk Fahland, Mathias Weske:
Modeling and Enacting Complex Data Dependencies in Business Processes. BPM 2013: 171-186 - [c35]Andreas Meyer, Luise Pufahl, Dirk Fahland, Mathias Weske:
Enacting Complex Data Dependencies from Activity-Centric Business Process Models. BPM (Demos) 2013 - [c34]Elham Ramezani, Dirk Fahland, Wil M. P. van der Aalst:
Supporting Domain Experts to Select and Configure Precise Compliance Rules. Business Process Management Workshops 2013: 498-512 - [c33]Elham Ramezani Taghiabadi, Dirk Fahland, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Diagnostic Information for Compliance Checking of Temporal Compliance Requirements. CAiSE 2013: 304-320 - [c32]Dirk Fahland, Christian Gierds:
Analyzing and Completing Middleware Designs for Enterprise Integration Using Coloured Petri Nets. CAiSE 2013: 400-416 - [c31]Christian Gierds, Dirk Fahland:
Discovering Pattern-Based Mediator Services from Communication Logs. ICSOC Workshops 2013: 123-134 - [c30]Dirk Fahland, David Lo, Shahar Maoz:
Mining branching-time scenarios. ASE 2013: 443-453 - [c29]