Automated discovery of business process simulation models from event logs: a hybrid process mining and deep learning approach
A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science at University of Tartu and Doctor of Philosophy in Engineering at Universidad de los Andes
- Autores:
-
Camargo Chávez, Manuel Alejandro
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2021
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/54943
- Acceso en línea:
- http://hdl.handle.net/1992/54943
- Palabra clave:
- Deep learning
Business process simulation
Data-Driven Simulation
Process mining
Machine learning
Business processes
Aprendizaje automático (Inteligencia artificial)
BPSim (Estándar y lenguajes de programación)
Métodos de simulación
Minería de datos
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science at University of Tartu and Doctor of Philosophy in Engineering at Universidad de los Andes |
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