This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from information theory. The measures allow quantifying classical non-deterministic and stochastic precision and recall quality criteria for process models automatically discovered from traces executed by IT-systems and recorded in their event logs. A process model has “good” precision with respect to the log it was discovered from if it does not encode many traces that are not part of the log, and has “good” recall if it encodes most of the traces from the log. By definition, the measures possess useful properties and can often be computed quickly.
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining / Polyvyanyy, Artem; Alkhammash, Hanan; DI CICCIO, Claudio; García-Bañuelos, Luciano; Kalenkova, Anna A.; Leemans, Sander J. J.; Mendling, Jan; Moffat, Alistair; Weidlich, Matthias. - 2703:(2020), pp. 39-42. (Intervento presentato al convegno Tool Demonstration Track of the 2nd International Conference on Process Mining (ICPM 2020) tenutosi a Padua, Italy).
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Claudio Di Ciccio;
2020
Abstract
This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from information theory. The measures allow quantifying classical non-deterministic and stochastic precision and recall quality criteria for process models automatically discovered from traces executed by IT-systems and recorded in their event logs. A process model has “good” precision with respect to the log it was discovered from if it does not encode many traces that are not part of the log, and has “good” recall if it encodes most of the traces from the log. By definition, the measures possess useful properties and can often be computed quickly.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.