Automatic log file analysis enables early detection of relevant incidents such as system
failures. In particular, self-learning anomaly detection techniques capture patterns in log …

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 techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …

Abstract Information systems research has a long-standing interest in how organizations
gain value through information technology. In this article, we investigate a business process …

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 …

Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

The robotic automation of processes is of much interest to organizations. A common use
case is to automate the repetitive manual tasks (or processes) that are currently done by …

Purpose This study explores how process managers perceive the adoption, use and
management of process mining in practice. While research in process mining predominantly …

In the era of “big data”, one of the key challenges is to analyze large amounts of data
collected in meaningful and scalable ways. The field of process mining is concerned with the …