The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …

It is common for business processes to exhibit a high degree of internal heterogeneity, in the
sense that the executions of the process differ widely from each other due to contextual …

Considerable amounts of data, including process events, are collected and stored by
organisations nowadays. Discovering a process model from such event data and verification …

Business processes are prone to continuous and unexpected changes. Process workers
may start executing a process differently in order to adjust to changes in workload, season …

This paper addresses the problem of explaining behavioral differences between two
business process event logs. The paper presents a method that, given two event logs …

Process workers may vary the normal execution of a business process to adjust to changes
in their operational environment, eg, changes in workload, season, or regulations. Changes …

Business process deviance refers to the phenomenon whereby a subset of the executions of
a business process deviate, in a negative or positive way, with respect to {their} expected or …

Process mining is a family of methods to analyze event logs produced during the execution
of business processes in order to extract insights regarding their performance and …

Process modeling has become an essential part of many organizations for documenting,
analyzing and redesigning their business operations and to support them with suitable …

Early detection of business process drifts from event logs enables analysts to identify
changes that may negatively affect process performance. However, detecting a process drift …