In distributed systems, it is often important that a user is not able to infer if a given action has been performed by another component, while still being able to interact with th...
Given an event log L, a control-flow discovery algorithm f, and a quality metric m, this paper faces the following problem: what are the parameters in f that mostly influence its...
Abstract. In this paper we illustrate how the knowledge driven Behaviour Analysis, which has been used in the KITE.it process management framework, can support the evolution of ana...
Antonia Azzini, Paolo Ceravolo, Ernesto Damiani, F...
: Mastering the development of software having the required quality level is a complex task. Since 1968, the software engineering discipline has grown in order to offer theories, ...
Abstract. Concept drift is the condition when the process changes during the course of execution. Current methods and analysis techniques existing in process mining are not profic...
Currently, there is a trend to promote personalized health care in order to prevent diseases or to have a healthier life. Using current devices such as smart-phones and smart-watch...
Abstract. We present a model for the dynamics of discrete deterministic systems, based on an extension of the Petri net framework. Our model relies on the definition of a priority...
Process mining techniques rely on event logs: the extraction of a process model (discovery) takes an event log as the input, the adequacy of a process model (conformance) is checke...