Minería de Procesos y Descubrimiento Automático de Procesos

Marcos Rivas Peña; Sussy Bayona-Oré

doi:10.1109/CIMPS.2018.8625621

Minería de Procesos y Descubrimiento Automático de Procesos

Marcos Rivas Peña, Sussy Bayona-Oré

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

9 Citas (Scopus)

Resumen

Business Processes Modeling is essential for the management and execution of processes. However, when the execution of the processes differs from the pre-established models is necessary to review the traces and records of events to know these differences. One goal of process mining is to discover the real processes through the extraction of knowledge from the records of events available in the information systems. This paper describes a systematic literature review to identify the algorithms developed for automatic discovery of business processes. 20 articles that included algorithm proposals were identified and the results show that the algorithms provide similar models to the records of events when these events are clean without noise. In addition, it is observed that the most used technique to model the flows is Petri net.

Título traducido de la contribución	Process Mining and Automatic Process Discovery
Idioma original	Español
Título de la publicación alojada	Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018
Editores	Adriana Pena Perez-Negron, Mirna A. Munoz Mata, Jezreel Mejia Miranda, Giner Alor-Hernandez, Alma Yadira Quinonez Carrillo
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	41-46
Número de páginas	6
ISBN (versión digital)	9781728101583
DOI	https://doi.org/10.1109/CIMPS.2018.8625621
Estado	Publicada - 24 ene. 2019
Publicado de forma externa	Sí
Evento	Applications in Software Engineering - 7th International Conference on Software Process Improvement, CIMPS 2018 - Guadalajara, Jalisco, México Duración: 17 oct. 2018 → 19 oct. 2018

Serie de la publicación

Nombre	Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018

Conferencia

Conferencia	Applications in Software Engineering - 7th International Conference on Software Process Improvement, CIMPS 2018
País/Territorio	México
Ciudad	Guadalajara, Jalisco
Período	17/10/18 → 19/10/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

Palabras clave

algorithms
discovery
event log
process mining
process model
techniques

Acceder al documento

10.1109/CIMPS.2018.8625621

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Enlace a la publicación en Scopus

Citar esto

Peña, M. R., & Bayona-Oré, S. (2019). Minería de Procesos y Descubrimiento Automático de Procesos. En A. P. Perez-Negron, M. A. Munoz Mata, J. M. Miranda, G. Alor-Hernandez, & A. Y. Q. Carrillo (Eds.), Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018 (pp. 41-46). Artículo 8625621 (Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIMPS.2018.8625621

Peña, Marcos Rivas ; Bayona-Oré, Sussy. / Minería de Procesos y Descubrimiento Automático de Procesos. Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018. editor / Adriana Pena Perez-Negron ; Mirna A. Munoz Mata ; Jezreel Mejia Miranda ; Giner Alor-Hernandez ; Alma Yadira Quinonez Carrillo. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 41-46 (Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018).

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Peña, MR & Bayona-Oré, S 2019, Minería de Procesos y Descubrimiento Automático de Procesos. En AP Perez-Negron, MA Munoz Mata, JM Miranda, G Alor-Hernandez & AYQ Carrillo (eds.), Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018., 8625621, Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 41-46, Applications in Software Engineering - 7th International Conference on Software Process Improvement, CIMPS 2018, Guadalajara, Jalisco, México, 17/10/18. https://doi.org/10.1109/CIMPS.2018.8625621

Minería de Procesos y Descubrimiento Automático de Procesos. / Peña, Marcos Rivas; Bayona-Oré, Sussy.
Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018. ed. / Adriana Pena Perez-Negron; Mirna A. Munoz Mata; Jezreel Mejia Miranda; Giner Alor-Hernandez; Alma Yadira Quinonez Carrillo. Institute of Electrical and Electronics Engineers Inc., 2019. p. 41-46 8625621 (Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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N2 - Business Processes Modeling is essential for the management and execution of processes. However, when the execution of the processes differs from the pre-established models is necessary to review the traces and records of events to know these differences. One goal of process mining is to discover the real processes through the extraction of knowledge from the records of events available in the information systems. This paper describes a systematic literature review to identify the algorithms developed for automatic discovery of business processes. 20 articles that included algorithm proposals were identified and the results show that the algorithms provide similar models to the records of events when these events are clean without noise. In addition, it is observed that the most used technique to model the flows is Petri net.

AB - Business Processes Modeling is essential for the management and execution of processes. However, when the execution of the processes differs from the pre-established models is necessary to review the traces and records of events to know these differences. One goal of process mining is to discover the real processes through the extraction of knowledge from the records of events available in the information systems. This paper describes a systematic literature review to identify the algorithms developed for automatic discovery of business processes. 20 articles that included algorithm proposals were identified and the results show that the algorithms provide similar models to the records of events when these events are clean without noise. In addition, it is observed that the most used technique to model the flows is Petri net.

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Peña MR, Bayona-Oré S. Minería de Procesos y Descubrimiento Automático de Procesos. En Perez-Negron AP, Munoz Mata MA, Miranda JM, Alor-Hernandez G, Carrillo AYQ, editores, Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 41-46. 8625621. (Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018). doi: 10.1109/CIMPS.2018.8625621

Minería de Procesos y Descubrimiento Automático de Procesos

Resumen

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Conferencia

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