158 citations · 196 across the 4 of their papers we have counts for
4 papers
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Business process simulation is a well-known approach to estimate the impact of changes to a process with respect to time and cost measures -- a practice known as what-if process an…
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning
Manuel Camargo, Marlon Dumas, Oscar Gonzalez-Rojas
A generative model is a statistical model that is able to generate new data instances from previously observed ones. In the context of business processes, a generative model create…
Discovering Business Process Simulation Models in the Presence of Multitasking
Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas +1
Business process simulation is a versatile technique for analyzing business processes from a quantitative perspective. A well-known limitation of process simulation is that the acc…
Automated Discovery of Business Process Simulation Models from Event Logs
Manuel Camargo, Marlon Dumas, Oscar González-Rojas
Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative option…