Abstract
Process model comparison and similar processes retrieval is a key issue to be addressed in many real world situations, and a particularly relevant one in some applications (e.g., in medicine), where similarity quantification can be exploited in a quality assessment perspective. In a recent work, we have introduced a framework which allows to: (i) extract the actual process model from the available process execution traces, through process mining techniques; and (ii) compare (mined) process models, by relying on a novel distance measure. The tool has been successfully tested in stroke management. In this paper, we are further extending that contribution, by explicitly taking into account complex control ow information, represented in the process model as gateway nodes (i.e., AND/XOR join/splits). The work is still ongoing, but, once completed and tested, it will represent a significant advance with respect to the state of the art research in the field, with a range of applications which is of course not limited only to medicine.
Lingua originale | Inglese |
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pagine (da-a) | 31-40 |
Numero di pagine | 10 |
Rivista | CEUR Workshop Proceedings |
Volume | 1101 |
Stato di pubblicazione | Pubblicato - 2013 |
Evento | Workshop AI Meets Business Processes, AIBP 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 - Turin, Italy Durata: 6 dic 2013 → … |