Andrea Burattin

Associate Professor
Technical University of Denmark


vAMoS: eVent Abstraction via Motifs Search

G. Di Federico, A. Burattin
Abstract
Paper cover

Process mining analyzes events that are logged during the execution of a business process. The level of abstraction at which a process model is recorded is reflected in the level of granularity of the data in the event log. When process activities are recorded as sensors readings, typically, they are very fined-grained and therefore difficult to interpret. To increase the understandability of the process model, events need to be abstracted into higher-level activities. This paper proposes vamos, a trace-based approach for event abstraction, which focuses on the identification of motifs on the traces, allowing some level of flexibility. The objective is the identification of recurring motifs on the traces in the event log. The presented algorithm uses a distance function to deal with the variability in the execution of activities. The result is a set of readable and interpretable motifs.

Paper Information and Files

In Proceedings of 6th International Workshop on BP-Meet-IoT; September 2022.

General rights

Copyright and moral rights for the publications made accessible in the public website are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Latest website update: 17 June 2024.