Process mining aims to improve operational processes in a data-driven manner. To this end,
process mining offers methods and techniques for systematically analyzing event data …

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 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 …

Healthcare organizations are confronted with challenges including the contention between
tightening budgets and increased care needs. In the light of these challenges, they are …

Since its emergence over two decades ago, process mining has flourished as a discipline,
with numerous contributions to its theory, widespread practical applications, and mature …

The focus of this paper is on how data quality can affect business process discovery in real
complex environments, which is a major factor determining the success in any data-driven …

Healthcare managers are confronted with various Capacity Management decisions to
determine appropriate levels of resources such as equipment and staff. Given the significant …

Most process mining techniques are primarily automated, meaning that process analysts
input information and receive output. As a result, process mining techniques function like …

Real-life event logs, reflecting the actual executions of complex business processes, are
faced with numerous data quality issues. Extensive data sanity checks and pre-processing …

Before the findings of a process mining project can be turned into actionable insights or
recommendations, it is essential to make sure that the findings are actually valid. Therefore …