- Language
-
Englisch
- Identifier
-
1261738543
- Contributor
- DOI
-
10.18154/RWTH-2022-01983
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
05.08.2022, 9:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
Other Objects (12)
Process Mining : A 360 Degree Overview
Process mining and monitoring processes and services : workshop report
Object-Centric Process Mining: Unraveling the Fabric of Real Processes
Process Mining Handbook
A practitioner’s guide to process mining: Limitations of the directly-follows graph
Foundations of Process Discovery
Six Levels of Autonomous Process Execution Management (APEM)
Discovering System Dynamics Simulation Models Using Process Mining
Scaling Process Mining to Turn Insights into Actions
Group-based privacy preservation techniques for process mining
A Python Tool for Object-Centric Process Mining Comparison
Process mining : discovery, conformance and enhancement of business processes
Process Mining : A 360 Degree Overview
Process mining and monitoring processes and services : workshop report
Object-Centric Process Mining: Unraveling the Fabric of Real Processes
Process Mining Handbook
A practitioner’s guide to process mining: Limitations of the directly-follows graph
Foundations of Process Discovery
Six Levels of Autonomous Process Execution Management (APEM)
Discovering System Dynamics Simulation Models Using Process Mining
Scaling Process Mining to Turn Insights into Actions
Group-based privacy preservation techniques for process mining
A Python Tool for Object-Centric Process Mining Comparison
Process mining : discovery, conformance and enhancement of business processes
Process Mining : A 360 Degree Overview
Process mining and monitoring processes and services : workshop report
Object-Centric Process Mining: Unraveling the Fabric of Real Processes
Process Mining Handbook
A practitioner’s guide to process mining: Limitations of the directly-follows graph
Foundations of Process Discovery
Six Levels of Autonomous Process Execution Management (APEM)
Discovering System Dynamics Simulation Models Using Process Mining
Scaling Process Mining to Turn Insights into Actions
Group-based privacy preservation techniques for process mining
A Python Tool for Object-Centric Process Mining Comparison