Conformance checking refers to techniques that can compare normative process behavior,
typically captured by process models, and observed process behavior, usually captured in …

Conformance checking detects deviations in business process executions. An online
detection method is needed to give immediate response to anticipate possible impacts. The …

Conformance checking is a class of process mining techniques, which contrasts the
modeled behaviors with the observed behaviors of a process, to detect, locate and explain …

Conformance checking (CC) techniques in process mining determine the conformity of
cases, by means of their event sequences, with respect to a business process model. Online …

Incremental mining improves the quality of process mining by analyzing the differences
between event logs and a reference model to obtain valuable information to update the …

Artifact-driven process monitoring is a technique that exploits the E-GSM modeling language
to seamlessly monitor multi-party business processes. Despite allowing greater flexibility in …

Process mining is a field that focuses on extracting insights from end-to-end business
processes. In traditional process mining, techniques are applied using batch processing in …

Artifact-driven process monitoring is an effective technique to autonomously monitor
business processes. Instead of requiring human operators to notify when an activity is …

This research project focusses on the development of representation learning-based
techniques for business processes. More specifically, both the architectural design as well …

Conformance checking is a subfield of process mining that deals with comparing process
models to event logs. Usually, it is done in an offline fashion. With the increased connectivity …