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 …

Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …

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 digital medicine, patient data typically record health events over time (eg, through
electronic health records, wearables, or other sensing technologies) and thus form unique …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

The definition of efficient and accurate health processes in hospitals is crucial for ensuring
an adequate quality of service. Knowing and improving the behavior of the surgical …

Understanding customer needs is of great significance to enhance service quality and
competitive advantage. However, for the tourism industry, it is still unclear how to mine …