Wil M. P. van der Aalst

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 571

Top Venues

CoRR

Business Process Management Workshops

Bus. Inf. Syst. Eng.

ICPM Workshops

Publications

Gyunam Park, Majid Rafiei, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning. CAiSE Forum (2024)
Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst
Process Variant Analysis Across Continuous Features: A Novel Framework. CoRR (2024)
Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst
Tuning Machine Learning to Address Process Mining Requirements. IEEE Access 12 (2024)
Alessandro Berti, István Koren, Jan Niklas Adams, Gyunam Park, Benedikt Knopp, Nina Graves, Majid Rafiei, Lukas Liß, Leah Tacke genannt Unterberg, Yisong Zhang, Christopher T. Schwanen, Marco Pegoraro, Wil M. P. van der Aalst
OCEL (Object-Centric Event Log) 2.0 Specification. CoRR (2024)
Wil M. P. van der Aalst
Matthias Jarke (1952-2024), A Pioneer in Information Systems and Data Management. Bus. Inf. Syst. Eng. 66 (2) (2024)
Harry Herbert Beyel, Wil M. P. van der Aalst
Translucent Precision: Exploiting Enabling Information to Evaluate the Quality of Process Models. RCIS (2) (2024)
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 (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Process Modeling with Large Language Models. BPMDS/EMMSAD@CAiSE (2024)
Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst
Imposing Rules in Process Discovery: An Inductive Mining Approach. RCIS (1) (2024)
Harry H. Beyel, Omar Makke, Mahsa Pourbafrani, Oleg Gusikhin, Wil M. P. van der Aalst
Analyzing Data Streams from Cyber-Physical-Systems: A Case Study. SN Comput. Sci. 5 (6) (2024)
Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application. J. Heal. Informatics Res. 8 (3) (2024)
Wil 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). PNSE@Petri Nets (2024)
Eduardo Goulart Rocha, Wil M. P. van der Aalst
Precision-Guided Minimization of Arbitrary Declarative Process Models. BPMDS/EMMSAD@CAiSE (2024)
Christof Weinhardt, Jonas Fegert, Oliver Hinz, Wil M. P. van der Aalst
Digital Democracy: A Wake-Up Call. Bus. Inf. Syst. Eng. 66 (2) (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Process Modeling With Large Language Models. CoRR (2024)
Edyta Brzychczy, Agnieszka Zuber, Wil M. P. van der Aalst
Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data. IEEE Trans. Syst. Man Cybern. Syst. 54 (5) (2024)
Lisa Luise Mannel, Wil M. P. van der Aalst
Discovering Process Models with Long-Term Dependencies while Providing Guarantees and Filtering Infrequent Behavior Patterns. Fundam. Informaticae 190 (2-4) (2024)
Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede
A chance for models to show their quality: Stochastic process model-log dimensions. Inf. Syst. 124 (2024)
Tobias Brockhoff, Moritz Nicolas Gose, Merih Seran Uysal, Wil M. P. van der Aalst
Process Comparison Using Petri Net Decomposition. Petri Nets (2024)
Tsung-Hao Huang, Enzo Schneider, Marco Pegoraro, Wil M. P. van der Aalst
Fast & Sound: Accelerating Synthesis-Rules-Based Process Discovery. BPMDS/EMMSAD@CAiSE (2024)
Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. BIOSTEC (2) (2024)
Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst
ProReco: A Process Discovery Recommender System. CAiSE Forum (2024)
István Koren, Matthias Jarke, Judith Michael, Malte Heithoff, Leah Tacke genannt Unterberg, Max Stachon, Bernhard Rumpe, Wil M. P. van der Aalst
Navigating the Data Model Divide in Smart Manufacturing: An Empirical Investigation for Enhanced AI Integration. BPMDS/EMMSAD@CAiSE (2024)
Daniel Schuster, Francesca Zerbato, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Defining and visualizing process execution variants from partially ordered event data. Inf. Sci. 657 (2024)
Moe Thandar Wynn, Wil M. P. van der Aalst, Eric Verbeek, Bruno N. Di Stefano
The IEEE XES Standard for Process Mining: Experiences, Adoption, and Revision [Society Briefs]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Leah Tacke genannt Unterberg, István Koren, Wil M. P. van der Aalst
Maximizing Reuse and Interoperability in Industry 4.0 with a Minimal Data Exchange Format for Machine Data. Modellierung (2024)
Alessandro Berti, Humam Kourani, Wil M. P. van der Aalst
PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks. CoRR (2024)
Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst
Process Comparison Based on Selection-Projection Structures. CAiSE (2024)
Dina Kretzschmann, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst
Overstock Problems in a Purchase-to-Pay Process: An Object-Centric Process Mining Case Study. CAiSE Workshops (2024)
Bianka Bakullari, Wil M. P. van der Aalst
High-Level Event Mining: Overview and Future Work. CoRR (2024)
Aaron Küsters, Wil M. P. van der Aalst
Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust. CoRR (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
ProMoAI: Process Modeling with Generative AI. CoRR (2024)
Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst
Process Variant Analysis Across Continuous Features: A Novel Framework. BPMDS/EMMSAD@CAiSE (2024)
Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. CoRR (2024)
Alessandro Berti, Johannes Herforth, Mahnaz Sadat Qafari, Wil M. P. van der Aalst
Graph-based feature extraction on object-centric event logs. Int. J. Data Sci. Anal. 18 (2) (2024)
Wil M. P. van der Aalst
Toward More Realistic Simulation Models Using Object-Centric Process Mining. ECMS (2023)
Alessandro Berti, Wil M. P. van der Aalst
OC-PM: analyzing object-centric event logs and process models. Int. J. Softw. Tools Technol. Transf. 25 (1) (2023)
Chiao-Yun Li, Aparna Joshi, Nicholas T. L. Tam, Sean Shing Fung Lau, Jinhui Huang, Tejaswini Shinde, Wil M. P. van der Aalst
Rectify Sensor Data in IoT: A Case Study on Enabling Process Mining for Logistic Process in an Air Cargo Terminal. CoopIS (2023)
Mahsa Pourbafrani, Niels Lücking, Matthieu Lucke, Wil M. P. van der Aalst
Steady State Estimation for Business Process Simulations. BPM (Forum) (2023)
Jan Niklas Adams, Cameron Pitsch, Tobias Brockhoff, Wil M. P. van der Aalst
An Experimental Evaluation of Process Concept Drift Detection. Proc. VLDB Endow. 16 (8) (2023)
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
Applying Process Mining on Scientific Workflows: a Case Study. CoRR (2023)
Wil M. P. van der Aalst
Experiences from the Internet-of-Production: Using "Data-Models-in-the-Middle" to Fight Complexity and Facilitate Reuse. Business Process Management Workshops (2023)
Luciana Barbieri, Edmundo R. M. Madeira, Kleber Stroeh, Wil M. P. van der Aalst
A natural language querying interface for process mining. J. Intell. Inf. Syst. 61 (1) (2023)
Christian Rennert, Wil M. P. van der Aalst
Improving Precision in Process Trees Using Subprocess Tree Logs. ICPM Workshops (2023)
Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Model-Independent Error Bound Estimation for Conformance Checking Approximation. Business Process Management Workshops (2023)
Harry H. Beyel, Omar Makke, Oleg Gusikhin, Wil M. P. van der Aalst
Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study. Business Process Management Workshops (2023)
Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst
Discovering Object-Centric Process Simulation Models. ICPM (2023)
István Koren, Jan Niklas Adams, Alessandro Berti, Wil M. P. van der Aalst
OCEL 2.0 Resources - www.ocel-standard.org. ICPM Doctoral Consortium / Demo (2023)
Majid Rafiei, Wil M. P. van der Aalst
An Abstraction-Based Approach for Privacy-Aware Federated Process Mining. IEEE Access 11 (2023)
Mahsa Pourbafrani, Wil M. P. van der Aalst
Data-Driven Simulation In Process Mining: Introducing A Reference Model. ECMS (2023)
Aaron Küsters, Wil M. P. van der Aalst
Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications - Extended Report. CoRR (2023)
Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. CoRR (2023)
Jan Niklas Adams, Wil M. P. van der Aalst
Addressing Convergence, Divergence, and Deficiency Issues. Business Process Management Workshops (2023)
Wil M. P. van der Aalst
Learning Colored Petri Nets Using Object-Centric Event Data (OCED2CPN). CiSt (2023)
Michael Nofer, Kevin Bauer, Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt
Quantum Computing. Bus. Inf. Syst. Eng. 65 (4) (2023)
Alessandro Berti, Marco Montali, Wil M. P. van der Aalst
Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review. CoRR (2023)
Nina Graves, István Koren, Wil M. P. van der Aalst
ReThink Your Processes! A Review of Process Mining for Sustainability. ICT4S (2023)
Wil M. P. van der Aalst
Twin Transitions Powered By Event Data - Using Object-Centric Process Mining To Make Processes Digital and Sustainable. ATAED/PN4TT@Petri Nets (2023)
Lukas Liss, Jan Niklas Adams, Wil M. P. van der Aalst
Object-Centric Alignments. CoRR (2023)
Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst
A generic approach to extract object-centric event data from databases supporting SAP ERP. J. Intell. Inf. Syst. 61 (3) (2023)
Gal Engelberg, Moshe Hadad, Marco Pegoraro, Pnina Soffer, Ethan Hadar, Wil M. P. van der Aalst
An Uncertainty-Aware Event Log of Network Traffic. BPM (Demos / Resources Forum) (2023)
Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Incremental Discovery of Process Models Using Trace Fragments. BPM (2023)
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)
Chiao-Yun Li, Tejaswini Shinde, Wanyi He, Sean Shing Fung Lau, Morgan Xian Biao Hiew, Nicholas T. L. Tam, Aparna Joshi, Wil M. P. van der Aalst
Unveiling Bottlenecks in Logistics: A Case Study on Process Mining for Root Cause Identification and Diagnostics in an Air Cargo Terminal. ICSOC (2) (2023)
Jan Niklas Adams, Sebastiaan J. van Zelst, Thomas Rose, Wil M. P. van der Aalst
Explainable concept drift in process mining. Inf. Syst. 114 (2023)
Tsung-Hao Huang, Wil M. P. van der Aalst
Discovering Sound Free-choice Workflow Nets With Non-block Structures. CoRR (2023)
Aaron Küsters, Wil M. P. van der Aalst
Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications. ATAED/PN4TT@Petri Nets (2023)
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 (2023)
Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt
Sustainable Systems Engineering. Bus. Inf. Syst. Eng. 65 (1) (2023)
Michael Martini, Daniel Schuster, Wil M. P. van der Aalst
Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants. Proc. VLDB Endow. 16 (10) (2023)
Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst
TraVaG: Differentially Private Trace Variant Generation Using GANs. RCIS (2023)
Yisong Zhang, Wil M. P. van der Aalst
Explorative Process Discovery Using Activity Projections. Petri Nets (2023)
Ali Norouzifar, Wil M. P. van der Aalst
Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior. SAC (2023)
Nina Graves, István Koren, Majid Rafiei, Wil M. P. van der Aalst
From Identities to Quantities: Introducing Items and Decoupling Points to Object-Centric Process Mining. ICPM Workshops (2023)
Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst
Discovering high-quality process models despite data scarcity. ER (Companion) (2023)
Wil M. P. van der Aalst, Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Humam Kourani
Discovering hybrid process models with bounds on time and complexity: When to be formal and when not? Inf. Syst. 116 (2023)
Viki Peeva, Wil M. P. van der Aalst
Grouping Local Process Models. ICPM Workshops (2023)
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Performance-Preserving Event Log Sampling for Predictive Monitoring. CoRR (2023)
Tsung-Hao Huang, Wil M. P. van der Aalst
Comparing Ordering Strategies For Process Discovery Using Synthesis Rules. CoRR (2023)
Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst
Pattern-based action engine: Generating process management actions using temporal patterns of process-centric problems. Comput. Ind. 153 (2023)
Anahita Farhang Ghahfarokhi, Fatemeh Akoochekian, Fareed Zandkarimi, Wil M. P. van der Aalst
Clustering Object-Centric Event Logs. DATA (2023)
Timo Pohl, Alessandro Berti, Mahnaz Sadat Qafari, Wil M. P. van der Aalst
A Collection of Simulated Event Logs for Fairness Assessment in Process Mining. BPM (Demos / Resources Forum) (2023)
Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst
Tailoring Machine Learning for Process Mining. CoRR (2023)
Lukas Liss, Jan Niklas Adams, Wil M. P. van der Aalst
Object-Centric Alignments. ER (2023)
Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Cortado: A dedicated process mining tool for interactive process discovery. SoftwareX 22 (2023)
Gyunam Park, Sevde Aydin, Cüneyt Ugur, Wil M. P. van der Aalst
Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study. ICPM Workshops (2023)
Gyunam Park, Sevde Aydin, Cuneyt Ugur, Wil M. P. van der Aalst
Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study. CoRR (2023)
Tian Li, Gyunam Park, Wil M. P. van der Aalst
Checking Constraints for Object-Centric Process Executions. ICPM Workshops (2023)
Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Alignment Approximator: A ProM Plug-In to Approximate Conformance Statistics. BPM (Demos / Resources Forum) (2023)
Harry H. Beyel, Omar Makke, Fangbo Yuan, Oleg Gusikhin, Wil M. P. van der Aalst
Analyzing Cyber-Physical Systems in Cars: A Case Study. DATA (2023)
Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Event Abstraction for Partial Order Patterns. BPM (2023)
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
SLURMminer: A Tool for SLURM System Analysis with Process Mining. BPM (Demos / Resources Forum) (2023)
Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
Extracting Rules from Event Data for Study Planning. CoRR (2023)
Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
Extracting Rules from Event Data for Study Planning. ICPM Workshops (2023)
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
Preserving complex object-centric graph structures to improve machine learning tasks in process mining. Eng. Appl. Artif. Intell. 125 (2023)
Timm Teubner, Christoph M. Flath, Christof Weinhardt, Wil M. P. van der Aalst, Oliver Hinz
Welcome to the Era of ChatGPT et al. Bus. Inf. Syst. Eng. 65 (2) (2023)
Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst
Discovering High-Quality Process Models Despite Data Scarcity. CoRR (2023)
Christian Rennert, Lisa Luise Mannel, Wil M. P. van der Aalst
Improving the eST-Miner Models by Replacing Imprecise Structures Using Place Projection. ATAED/PN4TT@Petri Nets (2023)
Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst
TraVaG: Differentially Private Trace Variant Generation Using GANs. CoRR (2023)
Tsung-Hao Huang, Wil M. P. van der Aalst
Unblocking Inductive Miner - While Preserving Desirable Properties. BPMDS/EMMSAD@CAiSE (2023)

Wil M. P. van der Aalst.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Wil M. P. van der Aalst