From Semantically Abstracted Traces to Process Mining and Process Model Comparison

Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani

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Abstract

Process model comparison can be exploited to assess the quality of organizational procedures, to identify non-conformances with respect to given standards, and to highlight critical situations. Sometimes, however, it is difficult to make sense of large and complex process models, while a more abstract view of the process would be sufficient for the comparison task. In this paper, we show how process traces, abstracted on the basis of domain knowledge, can be provided as an input to process mining, and how abstract models (i.e., models mined from abstracted traces) can then be compared and ranked, by adopting a similarity metric able to take into account penalties collected during the abstraction phase. The overall framework has been tested in the field of stroke management, where we were able to rank abstract process models more similarly to the ordering provided by a domain expert, with respect to what could be obtained when working on non-abstract ones.

Lingua originaleInglese
Titolo della pubblicazione ospiteAI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings
EditorChiara Ghidini, Paolo Traverso, Bernardo Magnini, Andrea Passerini
EditoreSpringer Verlag
Pagine47-59
Numero di pagine13
ISBN (stampa)9783030038397
DOI
Stato di pubblicazionePubblicato - 2018
Evento17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018 - Trento, Italy
Durata: 20 nov 201823 nov 2018

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11298 LNAI
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018
Paese/TerritorioItaly
CittàTrento
Periodo20/11/1823/11/18

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