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 focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

Predictive business process monitoring methods exploit logs of completed cases of a
process in order to make predictions about running cases thereof. Existing methods in this …

Predictive business process monitoring refers to the act of making predictions about the
future state of ongoing cases of a business process, based on their incomplete execution …

Predictive business process monitoring methods exploit historical process execution logs to
generate predictions about running instances (called cases) of a business process, such as …

The ability to know in advance the trend of running process instances, with respect to
different features, such as the expected completion time, would allow business managers to …

Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …

In this paper, we describe how we used text mining and analysis to identify and predict
cases of child abuse in a public health institution. Such institutions in the Netherlands try to …