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Produktbild: Mining a Scientist's Process
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Mining a Scientist's Process Essays Dedicated to Wil van der Aalst on the Occasion of His 60th Birthday

Aus der Reihe Lecture Notes in Computer Science

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.03.2026

Herausgeber

Jan Mendling + weitere

Verlag

Springer

Seitenzahl

756

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Sprache

Englisch

ISBN

978-3-032-17617-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.03.2026

Herausgeber

Verlag

Springer

Seitenzahl

756

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Sprache

Englisch

ISBN

978-3-032-17617-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Mining a Scientist's Process

  • 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.