A model for optimizing the identification of process variants in Robotic Process Automation
Contributo in Atti di convegno
Data di Pubblicazione:
2023
Citazione:
A model for optimizing the identification of process variants in Robotic Process Automation / F. Mohammadi, I.R. Vanani (... INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS ... )). - In: Proceedings 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)[s.l] : Institute of Electrical and Electronics Engineers Inc., 2023. - ISBN 979-8-3503-1890-6. - pp. 1-7 (( Intervento presentato al 10. convegno International Conference on Social Networks Analysis, Management and Security, SNAMS tenutosi a Abu Dhabi nel 2023 [10.1109/snams60348.2023.10375444].
Abstract:
This research focuses on enhancing the identification of process variants in robotic process automation (RPA) by using process mining techniques. It introduces a novel approach for identifying RPA automation candidates, combining diverse data and process science techniques not explored previously. The study analyzed event logs from the Figshare database, applying various process mining methods to evaluate processes and identify RPA-suitable activities. The proposed model's efficiency was measured against two baseline models, showing superior performance in multiple criteria.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
business process management; Machine Learning; process mining; Robotic process automation; task mining; Workflow management
Elenco autori:
F. Mohammadi, I.R. Vanani
Link alla scheda completa:
Titolo del libro:
Proceedings 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)