Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …

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 …

Techniques to discover Petri nets from event data assume precisely one case identifier per
event. These case identifiers are used to correlate events, and the resulting discovered Petri …

Process discovery is probably the most interesting, but also most challenging, process
mining task. The goal is to take an event log containing example behaviors and create a …

The practical relevance of process mining is increasing as more and more event data
become available. Process mining techniques aim to discover, monitor and improve real …

This thesis is about process mining: the analysis an organization's processes by using
process execution data. During the handling of a case or process instance data about the …

Process Conformance is a crucial step in the area of Process Mining: the adequacy of a
model derived from applying a discovery algorithm to a log must be certified before making …

Process discovery methods automatically infer process models from event logs. Often, event
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …

Increasingly organizations are using process mining to understand the way that operational
processes are executed. Process mining can be used to systematically drive innovation in a …

Recent breakthroughs in process mining research make it possible to discover, analyze, and
improve business processes based on event data. The growth of event data provides many …