Business Process Management (BPM) research resulted in a plethora of methods,
techniques, and tools to support the design, enactment, management, and analysis of …

Recently, process mining emerged as a new scientific discipline on the interface between
process models and event data. On the one hand, conventional Business Process …

Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies
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Process mining allows for the automated discovery of process models from event logs.
These models provide insights and enable various types of model-based analysis. This …

Today's process-aware information systems tend to either support business processes or
provide flexibility. Classical workflow management systems offer good process support as …

The ability to know in advance the trend of running process instances, with respect to
different features, such as the expected completion time, would allow business managers to …

Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …

This paper proposes a recommendation system that supports process participants in taking
risk-informed decisions, with the goal of reducing risks that may arise during process …

Predicting the completion time of business process instances would be a very helpful aid
when managing processes under service level agreement constraints. The ability to know in …

Business processes entail a large number of decisions that affect their business
performance. The criteria used in these decisions are not always formally specified and …