Muestra la distribución de disciplinas para esta publicación.
Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.
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| Año | 2018 | ||
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Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
There has been a spectacular growth in the availability of event data. To transport, store and exchange these event data, the eXtensible Event Stream (XES) has become the acknowledged standardization due to its simplicity, flexibility, extensibility and expressivity. Currently, the OpenXES library exists as the popular open-source Java implementation of the XES standard. However, despite the gaining popularity of Python as the core programming language for data science, there has yet to exist a complete and open-source implementation of the standard in the language. This paper presents OpyenXES as a complete and open-source implementation of the XES standard in Python. This opens up the rich portfolio of Python packages for data science to researchers and practitioners in the field of business process management.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Valdivieso, Hernan | - |
Pontificia Universidad Católica de Chile - Chile
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| 2 | Lee, Wai Lam Jonathan | - |
Pontificia Universidad Católica de Chile - Chile
|
| 3 | Munoz-Gama, Jorge | Hombre |
Pontificia Universidad Católica de Chile - Chile
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| 4 | SEPULVEDA-FERNANDEZ, MARCOS ERNESTO | Hombre |
Pontificia Universidad Católica de Chile - Chile
|