Process mining can be viewed as the missing link between model-based process analysis
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …

Process mining is the research domain that is dedicated to the a posteriori analysis of
business process executions. The techniques developed within this research area are …

Process mining refers to the extraction of process models from event logs. Real-life
processes tend to be less structured and more flexible. Traditional process mining …

While the maturity of process mining algorithms increases and more process mining tools
enter the market, process mining projects still face the problem of different levels of …

Existing techniques for automated discovery of process models from event logs generally
produce flat process models. Thus, they fail to exploit the notion of subprocess as well as …

Resource allocation is of great importance for business process management. In business
process execution, a set of rules that specify resource allocation is always implied. Although …

Event abstraction is a crucial step in applying process mining in real-world scenarios.
However, practitioners often face challenges in selecting relevant research for their specific …

Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one
side, security breaches and fraudulent behavior and on the other side desired deviations …

Process mining techniques aim to derive knowledge of the execution of processes, by
means of automated analysis of behaviour recorded in event logs. A well-known challenge …

Process mining techniques attempt to extract non-trivial knowledge and interesting insights
from event logs. Process models can be seen as the “maps” describing the operational …