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 …

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 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 is an active research domain and has been applied to understand and
improve business processes. While significant research has been conducted on the …

Process event data is a fundamental building block for process mining as event logs portray
the execution trails of business processes from which knowledge and insights can be …

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 …

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

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 …

Timestamp information recorded in event logs plays a crucial role in uncovering meaningful
insights into business process performance and behaviour via Process Mining techniques …

Process mining can provide valuable insights in business processes using an event log
containing process execution data. Despite the significant potential of process mining to …