Event logs are of paramount significance for process mining and complex event processing.
Yet, the quality of event logs remains a serious problem. Missing events of logs are usually …

The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

In recent years, many approaches have been proposed to support business process design,
for instance, by providing reference models, retrieving similar business processes or …

It is widely observed that the poor event logs quality poses a significant challenge to the
process mining project both in terms of choice of process mining algorithms and in terms of …

The abundance of event data enables new forms of analysis that facilitate process
improvement. Process mining provides a novel set of tools to discover the real process, to …

Process mining enables the analysis of complex systems using event data recorded during
the execution of processes. Specifically, models of these processes can be discovered from …

Process mining links traditional model-driven Business Process Management and data
mining by means of deriving knowledge from event logs to improve operational business …

The problem of automated discovery of process models from event logs has been
intensively researched in the past two decades. Despite a rich field of proposals, state-of-the …

Due to the big volume of data and complex execution, event logs of business processes
inevitably contain various errors. In the field of process mining, if we derive process models …

Event logs work as critical resources for Process Discovery and Conformance along with
Enhancement in Process Mining algorithms. Business process event logs, in most practical …