Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …

Organizations maintain process models that describe or prescribe how cases (eg, orders)
are handled. However, reality may not agree with what is modeled. Conformance checking …

The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

PM4Py is a Python library providing a comprehensive array of tools for process mining. This
paper presents an in-depth overview of the PM4Py library, including its integration with other …

Process mining is an emerging discipline incorporating methods and tools for the analysis of
system/process executions captured in the form of event logs [1]. Traditionally process …

Process mining techniques analyze processes based on event data. We analyzed the
trajectories of patients in a Dutch hospital from their registration in the emergency room until …

Process discovery methods automatically infer process models from event logs. Often, event
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …

The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …