The domains of complex event processing (CEP) and business process management (BPM)
have different origins but for many aspects draw on similar concepts. While specific …

Declarative process models define the behaviour of business processes as a set of
constraints. Declarative process discovery aims at inferring such constraints from event logs …

The abundance of event data in today's information systems makes it possible to “confront”
process models with the actual observed behavior. Process mining techniques use event …

Nowadays, business processes are increasingly supported by IT services that produce
massive amounts of event data during the execution of a process. These event data can be …

Generally, companies and organizations can greatly improve their business processes by
suitably monitoring and analyzing the log data that they gather for these processes in the …

Event logs are invaluable sources about the actual execution of processes. Most of process
mining and postmortem analysis techniques depend on logs. All these techniques require …

There is a growing need for empirical benchmarks that support researchers and
practitioners in selecting the best machine learning technique for given prediction tasks. In …

Process mining methods have been proven effective in turning historical log data into
actionable process knowledge. However, most of them work under the assumption that the …

Conformance checking enables organizations to automatically identify compliance
violations based on the analysis of observed event data. A crucial requirement for …

Process model matching refers to the automatic identification of corresponding activities
between two process models. It represents the basis for many advanced process model …