Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario
Contributo in Atti di convegno
Data di Pubblicazione:
2015
Citazione:
Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario / A. Azzini, E. Damiani, F. Zavatarelli (LECTURE NOTES IN BUSINESS INFORMATION PROCESSING). - In: Data-driven process discovery and analysis : third ifip wg 2.6, 2.12 international symposium, simpda 2013, Riva Del Garda, Italy, August 30, 2013, revised selected paper / [a cura di] P. Ceravolo, R. Accorsi, P. Cudre-Mauroux.. - New York : Springer, 2015. - ISBN 9783662464359. - pp. 87-109 (( Intervento presentato al 3. convegno International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA) tenutosi a Riva del Garda nel 2013 [10.1007/978-3-662-46436-6_5].
Abstract:
In this work we introduce the knowledge acquisition procedure supported in the KITE.it process management framework. We then illustrate how Process Mining techniques are supported in this framework proposing a running example featured in a Data Loss scenario. We then provide some lesson learned that can be generalized in similar contexts. In particular, we show how applying an appropriate Semantic Lifting to the log may help to discover behavioral patterns of the process that is actually being executed. Our conclusions spotlight that it is viable to verify whether some non-functional properties hold during the process execution. Moreover, we describe the impact that Semantics Lifting has on support and confidence of the inferred probabilities of observing these behavioral patterns.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
business process monitoring; semantic lifting; knowledge acquisition process
Elenco autori:
A. Azzini, E. Damiani, F. Zavatarelli
Link alla scheda completa:
Titolo del libro:
Data-driven process discovery and analysis : third ifip wg 2.6, 2.12 international symposium, simpda 2013, Riva Del Garda, Italy, August 30, 2013, revised selected paper