Directorio
BELEN RAMOS GUTIERREZ
Categoría
Profesor Sustituto
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Asignaturas que imparte
Investigación
Asistencia a congresos
Ramos, Belén;Parody-Núñez, Maria Luisa;Gómez-López, Mª Teresa:
Towards the Detection of Promising Processes by Analysing the Relational Data. Comunicación en congreso. ADBIS, TPDL & EDA joint conferences. Lyon, France. 2020
Towards the Detection of Promising Processes by Analysing the Relational Data. Comunicación en congreso. ADBIS, TPDL & EDA joint conferences. Lyon, France. 2020
Valencia-Parra, Álvaro;Varela-Vaca, Ángel Jesús;Gómez-López, Mª Teresa;Ramos, Belén:
Enabling Process Mining in Aircraft Manufactures: Extracting Event Logs and Discovering Processes from Complex Data. Comunicación en congreso. International Conference on Business Process Management . Viena, Austria. 2019
Enabling Process Mining in Aircraft Manufactures: Extracting Event Logs and Discovering Processes from Complex Data. Comunicación en congreso. International Conference on Business Process Management . Viena, Austria. 2019
Varela-Vaca, Ángel Jesús;Ramos, Belén;Galindo-Duarte, José Ángel;Gómez-López, Mª Teresa;David Benavides:
Process Mining to Unleash Variability Management:Discovering Configuration Workflows Using Logs.. Sesión no plenaria en Congreso. 23rd International Systems and Software Product Line Conference. París, Franci. 2019
Process Mining to Unleash Variability Management:Discovering Configuration Workflows Using Logs.. Sesión no plenaria en Congreso. 23rd International Systems and Software Product Line Conference. París, Franci. 2019
Artículos publicados
Ramos, Belén;Varela-Vaca, Ángel Jesús;Galindo-Duarte, José Ángel;Gómez-López, Mª Teresa;David Benavides:
Discovering configuration workflows from existing logs using process mining. Empirical Software Engineering. 2021. http://dx.doi.org/10.1007/s10664-020-09911-x.
Discovering configuration workflows from existing logs using process mining. Empirical Software Engineering. 2021. http://dx.doi.org/10.1007/s10664-020-09911-x.
