SciELO - Scientific Electronic Library Online

 
 número31Disminuyendo la Brecha del Aseguramiento de la Calidad entre Gestor y Miembros del Equipo Mediante el Uso de Herramientas de SoftwareInfluencia de la Teoría de Roles de Belbin en la Medición de Software: Un estudio exploratorio índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versión impresa ISSN 1646-9895

Resumen

RIVAS, Marcos Hernán  y  BAYONA-ORE, Sussy. Process Mining Algorithms for Automated Process Discovery. RISTI [online]. 2019, n.31, pp.33-49. ISSN 1646-9895.  https://doi.org/10.17013/risti.31.33-49.

A fundamental aspect to manage and execute business processes is theprocess modeling. In order to establish the differences that exist between the pre- established models and the models that have been executed, the traces and records of events must be reviewed. Process Mining uses event logs to discover the real processes, through the extraction of knowledge. To know which algorithms have been developed for the automatic discovery of business processes, a literature review of articles published in the period 2004-2017 was carried out. As a result of the review, 20 primary articles were identified and analyzed. A total of 20 algorithms were identified using different approaches with predominance of the general algorithm approach. The algorithms identified mostly use Petri networks as a process modeling technique

Palabras clave : Petri networks; automatic discovery; process mining; process model; event log.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons