Wil's References for the year 2024!
I try to update my webpage once per year and provide as many papers as possible. Enjoy reading!
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- P. Ceravolo, S. Barbon Junior, E. Damiani, and W.M.P. van
der Aalst. Tuning Machine Learning to Address Process Mining
Requirements. IEEE Access, 12:24583–24595, 2024.
- M.Y. Wynn, W.M.P. van der Aalst, E. Verbeek, and B.N. Di
Stefano. The IEEE XES Standard for Process Mining: Experiences,
Adoption, and Revision. IEEE Computational Intelligence Magazine,
19(1):20–23, 2024.
- L.L. Mannel and W.M.P. van der Aalst. Discovering
Process Models with Long-Term Dependencies while Providing
Guarantees and Filtering Infrequent Behavior Patterns. Fundamenta
Informaticae, 190(2-4):109–158, 2024.
- A. Berti, J. Herforth, M.S. Qafari, and W.M.P. van der Aalst.
Graph-Based Feature Extraction on Object-Centric Event Logs.
International Journal of Data Science and Analytics, 18(2):1–23,
2024.
- D. Schuster, F. Zerbato, S.J. van Zelst, and W.M.P. van der
Aalst. Defining and Visualizing Process Execution Variants from
Partially Ordered Event Data. Information Sciences, 657:119958,
2024.
- A.T. Burke, S.J.J. Leemans, M.T. Wynn, W.M.P. van der Aalst,
and A.H.M. ter Hofstede. A Chance For Models To Show Their
Quality: Stochastic Process Model-Log Dimensions. Information
Systems, 124:102382, 2024.
- D. Schuster, E. Benevento, D. Aloini, and W.M.P. van der Aalst.
Analyzing Healthcare Processes with Incremental Process Discovery:
Practical Insights from a Real-World Application. Journal of
Healthcare Informatics Research, 8(3):523–554, 2024.
- H.H. Beyel, O. Makke, M. Pourbafrani,
O. Gusikhin, and W.M.P. van der Aalst. Analyzing Data Streams
from Cyber-Physical-Systems: A Case Study. SN Computer Science,
5(6):706, 2024.
- E. Brzychczy, A. Zuber, and W.M.P. van der Aalst. Process
Mining of Mining Processes: Analyzing Longwall Coal Excavation
Using Event Data. IEEE Transactions on Systems, Man, and
Cybernetics: Systems, 54(5):2723–2734, 2024.
- C. Weinhardt, J. Fegert, O. Hinz, and W.M.P. van der Aalst.
Digital Democracy: A Wake-Up Call. Business and Information
Systems Engineering, 66(2):127–134, 2024.
- W.M.P. van der Aalst. Matthias Jarke (1952-2024), A Pioneer
in Information Systems and Data Management. Business and
Information Systems Engineering, 66(2):135, 2024.
- B. Hanneke, O. Hinz, J. Pfeiffer, and W.M.P. van der Aalst.
The Internet of Value: Unleashing the Blockchain’s Potential with
Tokenization. Business and Information Systems Engineering,
66(4):411–419, 2024.
- J. Pfeiffer, J.F. Lachenmaier, O. Hinz, and W.M.P. van der
Aalst. New Laws and Regulation. Business and Information Systems
Engineering, 66(6):653–666, 2024.
- C. Rennert and W.M.P. van der Aalst. Improving Precision
in Process Trees Using Subprocess Tree Logs. In J. De Smedt
and P. Soffer, editors, Fourth International Workshop on Event
Data and Behavioral Analytics (EdbA 2023), ICPM 2023 Workshop
Proceedings, volume 503 of Lecture Notes in Business Information
Processing, pages 110–122. Springer-Verlag, Berlin, 2024.
- M. Rafiei, D. Bayrak, M. Pourbafrani, G. Park, H. Helal,
G. Lakemeyer, and W.M.P. van der Aalst. Extracting Rules from
Event Data for Study Planning. In J. De Smedt and P. Soffer, editors,
Second International Workshop Education Meets Process Mining
(EduPM 2023), ICPM 2023 Workshop Proceedings, volume 503 of
Lecture Notes in Business Information Processing, pages 361–374.
Springer-Verlag, Berlin, 2024.
- T. Li, G. Park, and W.M.P. van der Aalst. Checking Constraints
for Object-Centric Process Executions. In J. De Smedt and
P. Soffer, editors, Eight International Workshop on Process Querying,
Manipulation, and Intelligence (PQMI 2023), ICPM 2023 Workshop
Proceedings, volume 503 of Lecture Notes in Business Information
Processing, pages 392–405. Springer-Verlag, Berlin, 2024.
- G. Park, S. Aydin, C. Ugur, and W.M.P. van der Aalst.
Analyzing an After-Sales Service Process Using Object-Centric
Process Mining: A Case Study. In J. De Smedt and P. Soffer, editors,
Eight International Workshop on Process Querying, Manipulation,
and Intelligence (PQMI 2023), ICPM 2023 Workshop Proceedings,
volume 503 of Lecture Notes in Business Information Processing,
pages 406–418. Springer-Verlag, Berlin, 2024.
- V. Peeva and W.M.P. van der Aalst. Grouping Local Process
Models. In J. De Smedt and P. Soffer, editors, Eight International
Workshop on Process Querying, Manipulation, and Intelligence
(PQMI 2023), ICPM 2023 Workshop Proceedings, volume 503 of
Lecture Notes in Business Information Processing, pages 419–430.
Springer-Verlag, Berlin, 2024.
- N. Graves, I. Koren, M. Rafiei, and W.M.P. van der Aalst. From
Identities to Quantities: Introducing Items and Decoupling Points
to Object-Centric Process Mining. In J. De Smedt and P. Soffer,
editors, Second International Workshop on Collaboration Mining
for Distributed Systems (COMINDS 2023), ICPM 2023 Workshop
Proceedings, volume 503 of Lecture Notes in Business Information
Processing, pages 462–474. Springer-Verlag, Berlin, 2024.
- W.M.P. van der Aalst. Lifting Process Discovery and Conformance
Checking to the Next Level: A General Approach to Object-Centric
Process Mining (Invited Talk). In M. Köhler-Bussmeier, D. Moldt,
and H. Rölke, editors, Proceedings of the International Workshop on
Petri Nets in Software Engineering (PNSE 2024), volume 3720 of
CEUR Workshop Proceedings, pages 1–12. CEUR-WS.org, 2024.
- T. Brockhoff, M.N. Gose, M.S. Uysal, and W.M.P. van der
Aalst. Process Comparison Using Petri Net Decomposition. In
L.M. Kristensen and J.M.E.M. van der Werf, editors, Application and
Theory of Petri Nets and Concurrency (Petri Nets 2024), Lecture
Notes in Computer Science, pages 83–105. Springer-Verlag, Berlin,
2024.
- H.H. Beyel, M. Verket, V. Peeva, C. Rennert, M. Pegoraro,
K. Schütt, W.M.P. van der Aalst, and N. Marx. Process-Aware
Analysis of Treatment Paths in Heart Failure Patients: A Case Study.
In H. Schlieter, A. Fred, and H. Gamboa, editors, Proceedings of
the 17th International Joint Conference on Biomedical Engineering
Systems and Technologies, BIOSTEC 2024, Volume 2, pages 506–515.
SCITEPRESS, 2024.
- W.M.P. van der Aalst and S.J.J. Leemans. Learning Generalized
Stochastic Petri Nets From Event Data. In N. Jansen, S. Junges, B.L.
Kaminski, C. Matheja, T. Noll, T. Quatmann, M. Stoelinga, and
M. Volk, editors, Principles of Verification: Cycling the Probabilistic
Landscape - Essays Dedicated to Joost-Pieter Katoen on the Occasion
of His 60th Birthday, Part III, volume 15262 of Lecture Notes in
Computer Science, pages 3–17. Springer-Verlag, Berlin, 2024.
- A. Norouzifar, H. Kourani, M. Dees, and W.M.P. van der Aalst.
Bridging Domain Knowledge and Process Discovery Using Large
Language Models. In K. Gdowska, M.T. Gómez-López, and J.R.
Rehse, editors, International Workshop on Artificial Intelligence for
Business Process Management (AI4BPM 2024), Business Process
Management Workshops (BPM 2024), volume 534 of Lecture Notes
in Business Information Processing, pages 44–56. Springer-Verlag,
Berlin, 2024.
- Z. Sadeghibogar, A. Berti, M. Pegoraro, and W.M.P. van der
Aalst. Applying Process Mining on Scientific Workflows: A Case
Study on High Performance Computing Data. In K. Gdowska, M.T.
Gómez-López, and J.R. Rehse, editors, International Workshop on
Data-Driven Business Process Optimization (BPO 2024), Business
Process Management Workshops (BPM 2024), volume 534 of
Lecture Notes in Business Information Processing, pages 84–96.
Springer-Verlag, Berlin, 2024.
- A. Küsters and W.M.P. van der Aalst. Rust4PM: A Versatile
Process Mining Library for When Performance Matters. In
A. del-Río-Ortega, M. Montali, S. Rinderle-Ma, H.A. Reijers, J.
vom Brocke, M. Weske, B. Depaire, M. Indulska, H. van der
Aa, W.T. Adrian, L. Genga, S. Leemans, K. Gdowska, M.T.
Gómez-López, J.R. Rehse, and S. Agostinelli, editors, Proceedings of
the Demonstration and Resources Forum of BPM 2024, volume 3758
of CEUR Workshop Proceedings, pages 91–95. CEUR-WS.org, 2024.
- A. Berti and W.M.P. van der Aalst. CSV-PM-LLM-Parsing:
Automatic Ingestion of CSV Event Logs for Process Mining using
LLMs. In A. del-Río-Ortega, M. Montali, S. Rinderle-Ma, H.A.
Reijers, J. vom Brocke, M. Weske, B. Depaire, M. Indulska, H. van
der Aa, W.T. Adrian, L. Genga, S. Leemans, K. Gdowska, M.T.
Gómez-López, J.R. Rehse, and S. Agostinelli, editors, Proceedings of
the Demonstration and Resources Forum of BPM 2024, volume 3758
of CEUR Workshop Proceedings, pages 131–135. CEUR-WS.org, 2024.
- A. Berti, U. Jessen, W.M.P. van der Aalst, and D. Fahland.
Explainable Object-Centric Anomaly Detection: the Role of Domain
Knowledge. In A. del-Río-Ortega, M. Montali, S. Rinderle-Ma,
H.A. Reijers, J. vom Brocke, M. Weske, B. Depaire, M. Indulska,
H. van der Aa, W.T. Adrian, L. Genga, S. Leemans, K. Gdowska,
M.T. Gómez-López, J.R. Rehse, and S. Agostinelli, editors, Workshop
Short Paper, BPM 2024, volume 3758 of CEUR Workshop
Proceedings, pages 162–168. CEUR-WS.org, 2024.
- L. Liss, J.N. Adams, and W.M.P. van der Aalst. TOTeM:
Temporal Object Type Model for Object-Centric Process Mining.
In A. Marrella, M. Resinas, M. Jans, and M. Rosemann, editors,
Business Process Management Forum - BPM 2024 Forum, volume 526
of Lecture Notes in Business Information Processing, pages 107–123.
Springer-Verlag, Berlin, 2024.
- G. Park, J.N. Adams, and W.M.P. van der Aalst. Conformance
Checking and Performance Analysis Using Object-Centric
Directly-Follows Graphs. In A. Marrella, M. Resinas, M. Jans, and
M. Rosemann, editors, Business Process Management Forum - BPM
2024 Forum, volume 526 of Lecture Notes in Business Information
Processing, pages 179–196. Springer-Verlag, Berlin, 2024.
- J.N. Adams, E. Hastrup-Kiil, G. Park, and W.M.P. van der
Aalst. Super Variants. In A. Marrella, M. Resinas, M. Jans,
and M. Rosemann, editors, International Conference on Business
Process Management (BPM 2024), volume 14940 of Lecture Notes in
Computer Science, pages 111–128. Springer-Verlag, Berlin, 2024.
- H.H. Beyel and W.M.P. van der Aalst. Improving Process
Discovery Using Translucent Activity Relationships. In A. Marrella,
M. Resinas, M. Jans, and M. Rosemann, editors, International
Conference on Business Process Management (BPM 2024), volume
14940 of Lecture Notes in Computer Science, pages 146–163.
Springer-Verlag, Berlin, 2024.
- E.G. Rocha, S.J. van Zelst, and W.M.P. van der Aalst. Mining
Behavioral Patterns for Conformance Diagnostics. In A. Marrella,
M. Resinas, M. Jans, and M. Rosemann, editors, International
Conference on Business Process Management (BPM 2024), volume
14940 of Lecture Notes in Computer Science, pages 291–308.
Springer-Verlag, Berlin, 2024.
- E.G. Rocha and W.M.P. van der Aalst. Precision-Guided
Minimization of Arbitrary Declarative Process Models. In
H. van der Aa, D. Bork, R. Schmidt, and A. Sturm, editors,
Enterprise, Business-Process and Information Systems Modeling
(BPMDS/EMMSAD 2024), volume 511 of Lecture Notes in Business
Information Processing, pages 48–56. Springer-Verlag, Berlin, 2024.
- A. Norouzifar, M. Rafiei, M. Dees, and W.M.P. van der Aalst.
Process Variant Analysis Across Continuous Features: A Novel
Framework. In H. van der Aa, D. Bork, R. Schmidt, and A. Sturm,
editors, Enterprise, Business-Process and Information Systems
Modeling (BPMDS/EMMSAD 2024), volume 511 of Lecture Notes
in Business Information Processing, pages 129–142. Springer-Verlag,
Berlin, 2024.
- H. Kourani, A. Berti, D. Schuster, and W.M.P. van der
Aalst. Process Modeling with Large Language Models. In
H. van der Aa, D. Bork, R. Schmidt, and A. Sturm, editors,
Enterprise, Business-Process and Information Systems Modeling
(BPMDS/EMMSAD 2024), volume 511 of Lecture Notes in Business
Information Processing, pages 229–244. Springer-Verlag, Berlin, 2024.
- T.H. Huang, E. Schneider, M. Pegoraro, and W.M.P. van der
Aalst. Fast and Sound: Accelerating Synthesis-Rules-Based Process
Discovery. In H. van der Aa, D. Bork, R. Schmidt, and A. Sturm,
editors, Enterprise, Business-Process and Information Systems
Modeling (BPMDS/EMMSAD 2024), volume 511 of Lecture Notes
in Business Information Processing, pages 259–274. Springer-Verlag,
Berlin, 2024.
- I. Koren, M. Jarke, J. Michael, M. Heithoff, L. Tacke genannt
Unterberg, M. Stachon, B. Rumpe, and W.M.P. van der Aalst.
Navigating the Data Model Divide in Smart Manufacturing:
An Empirical Investigation for Enhanced AI Integration. In
H. van der Aa, D. Bork, R. Schmidt, and A. Sturm, editors,
Enterprise, Business-Process and Information Systems Modeling
(BPMDS/EMMSAD 2024), volume 511 of Lecture Notes in Business
Information Processing, pages 275–290. Springer-Verlag, Berlin, 2024.
- T. Brockhoff, M.S. Uysal, and W.M.P. van der Aalst.
Process Comparison Based on Selection-Projection Structures. In
G. Guizzardi, F. Maria Santoro, H. Mouratidis, and P. Soffer,
editors, Advanced Information Systems Engineering (CAiSE 2024),
volume 14663 of Lecture Notes in Computer Science, pages 20–35.
Springer-Verlag, Berlin, 2024.
- G. Park, M. Rafiei, H. Helal, G. Lakemeyer, and W.M.P. van
der Aalst. Incorporating Behavioral Recommendations Mined from
Event Logs into AI Planning. In S. Islam and A. Sturm, editors,
Intelligent Information Systems (CAiSE Forum 2024), volume 520
of Lecture Notes in Business Information Processing, pages 20–28.
Springer-Verlag, Berlin, 2024.
- T.H. Huang, T. Junied, M. Pegoraro, and W.M.P. van der Aalst.
ProReco: A Process Discovery Recommender System. In S. Islam
and A. Sturm, editors, Intelligent Information Systems (CAiSE
Forum 2024), volume 520 of Lecture Notes in Business Information
Processing, pages 93–101. Springer-Verlag, Berlin, 2024.
- D. Kretzschmann, G. Park, A. Berti, and W.M.P. van der Aalst.
Overstock Problems in a Purchase-to-Pay Process: An Object-Centric
Process Mining Case Study. In J.P.A. Almeida, C. Di Ciccio, and
C. Kalloniatis, editors, Advanced Information Systems Engineering
Workshops (CAiSE 2024), volume 521 of Lecture Notes in Business
Information Processing, pages 347–359. Springer-Verlag, Berlin, 2024.
- H.H. Beyel, S. Manuel, and W.M.P. van der Aalst. ActivityGen:
Extracting Enabled Activities from Screenshots. In
U. Endriss, F. Melo, K. Bach, A. Diz, J. Alonso-Moral, S. Barro,
and F. Heintz, editors, European Conference on Artificial Intelligence
(ECAI 2024), volume 392 of Frontiers in Artificial Intelligence and
Applications, pages 712–720. IOS Press, 2024.
-
J.N. Adams, H. Drescher, A. Swoboda, N. Günnemann, G. Park,
and W.M.P. van der Aalst. Improving Predictive Process Monitoring
Using Object-Centric Process Mining. In M. Avital, E. Karahanna,
M. Themistocleous, I.D. Constantiou, B. Fitzgerald, and S. Seidel,
editors, European Conference on Information Systems (ECIS 2024),
2024.
- C.T. Schwanen, W. Pakusa, and W.M.P. van der Aalst. Process
Tree Alignments. In J. Borbinha, T.P. Sales, M. Mira da Silva, H.A.
Proper, and M. Schnellmann, editors, Enterprise Design, Operations,
and Computing (EDOC 2024), volume 15409 of Lecture Notes in
Computer Science, pages 300–317. Springer-Verlag, Berlin, 2024.
- H. Heidemeyer, L. Auhagen,
R.W. Majeed, M. Pegoraro, J. Bienzeisler, V. Peeva, H.H. Beyel,
R. Röhrig, W.M.P. van der Aalst, and B. Puladi. A Pipeline for the
Usage of the Core Data Set of the Medical Informatics Initiative for
Process Mining: A Technical Case Report. In R. Röhrig, N. Grabe,
U. Hübner, K. Jung, U. Sax, S. Oliver, M. Sedlmayr, and A. Zapf,
editors, German Medical Data Sciences (GMDS 2024), volume 317
of Studies in Health Technology and Informatics, pages 30–39. IOS
Press, 2024.
- E.G. Rocha, S.J.J. Leemans, and W.M.P. van der Aalst. Stochastic
Conformance Checking Based on Expected Subtrace Frequency. In
X. Lu, L. Pufahl, and M. Song, editors, International Conference on
Process Mining (ICPM 2024), pages 73–80. IEEE Computer Society,
2024.
- T. Brockhoff, M.S. Uysal, and W.M.P. van der Aalst. Wasserstein
Weight Estimation for Stochastic Petri Nets. In X. Lu, L. Pufahl,
and M. Song, editors, International Conference on Process Mining
(ICPM 2024), pages 81–88. IEEE Computer Society, 2024.
- H. Kämmerling, E.G. Rocha, and W.M.P. van der Aalst.
ProM4Py - A Python Wrapper For The ProM Framework. In J. De
Weerdt, G. Meroni, H. van der Aa, and K. Winter, editors, Doctoral
Consortium and Demo Track ICPM 2024, volume 3783 of CEUR
Workshop Proceedings. CEUR-WS.org, 2024.
- H. Kourani, A. Berti, D. Schuster, and W.M.P. van der Aalst.
ProMoAI: Process Modeling with Generative AI. In Proceedings of the
Thirty-Third International Joint Conference on Artificial Intelligence
(IJCAI 2024), pages 8708–8712. ijcai.org, 2024.
- L. Tacke genannt Unterberg, I. Koren, and W.M.P. van der
Aalst. Maximizing Reuse and Interoperability in Industry 4.0 with a
Minimal Data Exchange Format for Machine Data. In J. Michael and
M. Weske, editors, Modellierung 2024, volume P-348 of LNI, pages
103–118. Gesellschaft für Informatik e.V., 2024.
- H.H. Beyel and W.M.P. van der Aalst. Translucent Precision:
Exploiting Enabling Information to Evaluate the Quality of Process
Models. In J. Araújo, J.L. de la Vara, M.Y. Santos, and
S. Assar, editors, International Conference on Research Challenges
in Information Science (RCIS 2024), Part II, volume 514 of
Lecture Notes in Business Information Processing, pages 29–37.
Springer-Verlag, Berlin, 2024.
- A. Norouzifar, M. Dees, and W.M.P. van der Aalst. Imposing
Rules in Process Discovery: An Inductive Mining Approach. In
J. Araújo, J.L. de la Vara, M.Y. Santos, and S. Assar, editors,
International Conference on Research Challenges in Information
Science (RCIS 2024), Part I, volume 513 of Lecture Notes in Business
Information Processing, pages 220–236. Springer-Verlag, Berlin, 2024.
- N. Elbert, L. Liss, W.M.P. van der Aalst, and C.M. Flath. Game
Data Event Log from Age of Empire Interactions (Version 1.0.0).
https://doi.org/10.5281/zenodo.11060884, May 2024.
- L. Liss, N. Elbert, C.M. Flath, and W.M.P. van der Aalst.
Object-Centric Event Log for Age of Empires Game Interactions
(Version 1.1.0). https://doi.org/10.5281/zenodo.11506366, June
2024.
- A. Küsters and W.M.P. van der Aalst. Developing a
High-Performance Process Mining Library with Java and Python
Bindings in Rust. Computing Research Repository (CoRR) in arXiv,
abs/2401.14149, 2024.
- A. Berti, I. Koren, J.N. Adams, G. Park, B. Knopp, N. Graves,
M. Rafiei, L. Liß, L. Tacke genannt Unterberg, Y. Zhang, C.T.
Schwanen, M. Pegoraro, and W.M.P. van der Aalst. OCEL
(Object-Centric Event Log) 2.0 Specification. Computing Research
Repository (CoRR) in arXiv, abs/2403.01975, 2024.
- H. Kourani, A. Berti, D. Schuster, and W.M.P. van der Aalst.
ProMoAI: Process Modeling with Generative AI. Computing Research
Repository (CoRR) in arXiv, abs/2403.04327, 2024.
- H. Kourani, A. Berti, D. Schuster, and W.M.P. van der Aalst.
Process Modeling With Large Language Models. Computing Research
Repository (CoRR) in arXiv, abs/2403.07541, 2024.
- H.H. Beyel, M. Verket, V. Peeva, C. Rennert, M. Pegoraro,
K. Schütt, W.M.P. van der Aalst, and N. Marx. Process-Aware
Analysis of Treatment Paths in Heart Failure Patients: A Case Study.
Computing Research Repository (CoRR) in arXiv, abs/2403.10544,
2024.
- B. Bakullari and W.M.P. van der Aalst. High-Level Event Mining:
Overview and Future Work. Computing Research Repository (CoRR)
in arXiv, abs/2405.14435, 2024.
- A. Norouzifar, M. Rafiei, M. Dees, and W.M.P. van der Aalst.
Process Variant Analysis Across Continuous Features: A Novel
Framework. Computing Research Repository (CoRR) in arXiv,
abs/2406.04347, 2024.
- A. Berti, U. Jessen, W.M.P. van der Aalst, and D. Fahland.
Challenges of Anomaly Detection in the Object-Centric Setting:
Dimensions and the Role of Domain Knowledge. Computing Research
Repository (CoRR) in arXiv, abs/2407.09023, 2024.
- A. Berti, H. Kourani, and W.M.P. van
der Aalst. PM-LLM-Benchmark: Evaluating Large Language Models
on Process Mining Tasks. Computing Research Repository (CoRR) in
arXiv, abs/2407.13244, 2024.
- H. Kourani, A. Berti, J. Henrich, W. Kratsch, R. Weidlich,
C.Y. Li, A. Arslan, D. Schuster, and W.M.P. van der Aalst.
Leveraging Large Language Models for Enhanced Process Model
Comprehension. Computing Research Repository (CoRR) in arXiv,
abs/2408.08892, 2024.
- A. Norouzifar, H. Kourani, M. Dees, and W.M.P. van der Aalst.
Bridging Domain Knowledge and Process Discovery Using Large
Language Models. Computing Research Repository (CoRR) in arXiv,
abs/2408.17316, 2024.
- A. Norouzifar, M. Dees, and W.M.P. van der Aalst. Imposing
Rules in Process Discovery: An Inductive Mining Approach.
Computing Research Repository (CoRR) in arXiv, abs/2408.17326,
2024.
- C. Rennert, M. Pourbafrani, and W.M.P. van der Aalst.
Evaluation of Study Plans using Partial Orders. Computing Research
Repository (CoRR) in arXiv, abs/2410.03314, 2024.
- D. Fahland, M. Montali, J. Lebherz, W.M.P. van der Aalst, M.
van Asseldonk, P. Blank, L. Bosmans, M. Brenscheidt, C. Di Ciccio,
A. Delgado, D. Calegari, J. Peeperkorn, E. Verbeek, L. Vugs, and
M.T. Wynn. Towards a Simple and Extensible Standard for
Object-Centric Event Data (OCED): Core Model, Design Space, and
Lessons Learned. Computing Research Repository (CoRR) in arXiv,
abs/2410.14495, 2024.
- V. Peeva, M. Porsil, and W.M.P. van der Aalst. Object-Centric
Local Process Models. Computing Research Repository (CoRR) in
arXiv, abs/abs/2411.10468, 2024.
- H. Kourani, A. Berti, D. Schuster, and W.M.P. van der Aalst.
Evaluating Large Language Models on Business Process Modeling:
Framework, Benchmark, and Self-Improvement Analysis. Computing
Research Repository (CoRR) in arXiv, abs/2412.00023, 2024.
- W.M.P. van der Aalst. We overschatten wat we met AI volgend
jaar kunnen doen, maar onderschatten langere termijneffecten.
Stichting Beste-ID, Uitgave 2024, www.beste-id.nl, 2024.
- M. Pegoraro, E. Benevento, D. Alioni, and W.M.P. van der
Aalst. Advances in Computational Methods for Process and Data
Mining in Healthcare. Mathematical Biosciences and Engineering,
21(7):6603–6607, 2024.
- W.M.P. van der Aalst. How Object-Centric Process Mining Helps
to Unleash Predictive and Generative AI. In L. Reinkemeyer, editor,
Process Intelligence in Action: Taking Process Mining to the Next
Level, pages 219–232. Springer-Verlag, Berlin, 2024.
- W.M.P. van der Aalst, H.A. Reijers, and L. Maruster. Process
Mining Beyond Workflows. Computers in Industry, 161:104126, 2024.
- J. Munoz-Gama, F. Zerbato. G. Janssenswillen, and W.M.P. van der Aalst.
Second International Workshop Education meets Process Mining (EduPM 2023).
In J. De Smedt and P. Soffer,
editors, ICPM 2023 Workshop
Proceedings, volume 503 of Lecture Notes in Business Information
Processing, pages 1–3. Springer-Verlag, Berlin, 2024.
- W.M.P. van der Aalst.
Unraveling the Fabric of Intertwined Processes: How Object-Centric Process Mining is Changing the Way We Improve Operational Processes.
In J. De Smedt and P. Soffer,
editors, Second International Workshop on Collaboration Mining
for Distributed Systems (COMINDS 2023), ICPM 2023 Workshop
Proceedings, volume 503 of Lecture Notes in Business Information
Processing, pages 1–5. Springer-Verlag, Berlin, 2024.