no code implementations • 10 Jun 2023 • Sander J. J. Leemans, Fabrizio M. Maggi, Marco Montali
In this article, we provide such a characterization starting from generalized stochastic Petri nets and obtaining the framework of labelled stochastic processes (LSPs).
no code implementations • 12 Mar 2019 • Fabrizio M. Maggi, Marco Montali, Rafael Peñaloza
Temporal logics over finite traces have recently seen wide application in a number of areas, from business process modelling, monitoring, and mining to planning and decision making.
no code implementations • 8 Apr 2018 • Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Fabrizio M. Maggi
Given an event stream produced by the execution of a business process, the goal of an online process discovery method is to maintain a continuously updated model of the process with a bounded amount of memory while at the same time achieving similar accuracy as offline methods.