Feature recommendation for structural equation model discovery in process mining
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1007/s13748-022-00282-6
- Event
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Veröffentlichung
- (where)
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Aachen
- (who)
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Universitätsbibliothek der RWTH Aachen
- (when)
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2022
- Creator
- DOI
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10.18154/RWTH-2022-06853
- URN
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urn:nbn:de:101:1-2022071303274743719782
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:51 PM CET
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
- Qafari, Mahnaz Sadat
- Aalst, Wil van der
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2022
Other Objects (12)
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Using Free-Choice Nets for Process Mining and Business Process Management
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Cortado: A dedicated process mining tool for interactive process discovery
Process Mining Handbook
Process mining : data science in action
Creating Translucent Event Logs to Improve Process Discovery
Feature Recommendation for Structural Equation Model Discovery in Process Mining
Process mining : discovery, conformance and enhancement of business processes
Foundations of Process Discovery
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
Using Free-Choice Nets for Process Mining and Business Process Management
A practitioner’s guide to process mining: Limitations of the directly-follows graph
Cortado: A dedicated process mining tool for interactive process discovery
Process Mining Handbook
Process mining : data science in action