Mining a Scientist's Process
Description
This Festschrift is dedicated to Wil van der Aalst, a leading pioneer in the disciplines of Business Process Management and Process Mining.
Wil van der Aalst received an M.Sc. and a Ph.D. at Eindhoven University of Technology during the 1980s. Among other current roles he is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group, and he is Chief Scientist at Celonis. His research interests include process mining, data science, Petri nets, process management, workflow management, process modeling, and process analysis. He has over 1000 journal articles and conference papers, he is among the most highly cited computer scientists in the world, and his ideas have influenced researchers, software developers, and standardization committees. Among his achievements and awards Prof. van der Aalst has received honorary degrees from the Moscow Higher School of Economics, Tsinghua University, and Hasselt University. He is an IFIP Fellow, IEEE Fellow, and ACM Fellow, and an elected member of the Royal Netherlands Academy of Arts and Sciences, the Royal Holland Society of Sciences and Humanities, Academia Europaea, the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts, and the German Academy of Science and Engineering.
Throughout his career Prof. van der Aalst has collaborated with hundreds of researchers, students, and practitioners, their successes are reflected in the papers contributed to this volume.
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Content
Reflections about Wil's Career.- Are You a Process Guy or a Data Guy.- A Brief History and Overview of the Chair of Process and Data Science (PADS).- From Eindhoven to Everywhere: An Academic Spark that Lit Up Classrooms around the World.- From Theory to Practice: How Fraunhofer FIT and Its Ecosystem Brought Wil van der Aalst's Process Mining Vision to Market.-
Wil van der Aalst: A Scientific Guide through Complexity.- Business Process Management Concepts From Vision to Community: The Origins and Evolution of the BPM Conference.- A theoretical foundation for process science.- Leveraging the Process Status in Predictive Process Monitoring Tasks.- The Process of Process Science - Generating Actionable Insights from Digital Trace Data.- Formal Foundations of Process Change.- xData-Centric Support for Dynamic Processes.- Unusual Connections of Processes or Development Processes are in Permanent Changes.- Contributions of Wil van der Aalst to the Fundamentals of Business Process Management.- Business Process Support for Emergency Management.- An overview on Predictive and Prescriptive Process Monitoring.- From Constraint-Based Process Modeling to Framed Autonomy: A Historical Excursus.- Contextualized storage of process models in a process database for
data-driven manufacturing.- Petri Nets and Formalisms.- Petri Net Encoding of Reaction Systems with Unspecified Durations.- Petri Nets for the Real World.- Variable Arc Nets: One-Dimensional Object-Centric Petri Nets.- Is Quantum Mechanics Deterministic or Non-deterministic.- Interaction of Petri Net Process Models.- On Free Choice and Wil(l): From Petri Net Theory to Process Mining.- xiProcess Mining Foundations A Brief Overview of Process Trees.- Contests and Challenges in Process Mining.- There's no Process Mining without Conformance Checking.-
Notes of a Process Scientist: Process Discovery.- Process-Data Quality Management Lifecycle: Building Strong Data Foundations for Process Mining.- What is an Object-Centric Case? An Exploration.- Towards Object-Centric and Translucent Process Mining.- Bridging the Granularity Gap: From Fine-Grained Events to Coarse-Grained Process Models.- Forward-Looking Process Mining: Simulation-Based Approaches, Challenges, and Research Directions.- What is the Problem? - Process Mining with a Control Theory Perspective.- DisCoveR and Beyond: Exploring Recent Advances in Declarative Process Discovery.- Leveraging Meta-Properties of Petri Net Classes to Effciently Enforce Formal Guarantees in Bottom-Up Process Discovery.- Automated Conformance Checking Between Process Models and Their Generalized Reference Process Models.- Threats to Validity of Process Mining Research.- xiiA Semantic Encoding of Object Centric Event Data.- Ten Years After Our Framework for Correlating and Clustering Process Behavior: A Reflection on the Journey, Legacy and Outlook.- Process Applications Shaping the Digital Transformation in Production: An Information-and Network-Centric Perspective.- Process Mining for Heavy Industries: Lessons Learned from Mining Use Cases.- Diagnosing LLM Hallucinations in Process Mining Tasks: a Taxonomy and a Benchmark.- Uncharted Workflows: Process Mining Perspectives in Health.- Object-centric Extraction and Analysis of Scientific Publications.- Hybrid Intelligence and Corporate Governance: Division of Labor or Hybrid Ensembles.- Privacy and Confidentiality in Process Mining: An Overview of Challenges, Methods, and Future Research Directions.- How Students and Robots Can Profit from Process Mining.- Process Mining in the Era of Smart Manufacturing: Applications, Limitations, and Opportunities.