Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …

Real-life event logs are typically much less structured and more complex than the
predefined business activities they refer to. Most of the existing process mining techniques …

Large amount of data is collected in event logs from information systems, reflecting the
actual execution of business processes. Due to the highly competitive pressure in the …

Many information systems nowadays record data about the process instances executed at
the organization in the form of traces in a log. In this paper we present a framework able to …

Process mining algorithms essentially reflect the execution behavior of events in an event
log for conformance checking, model discovery, or enhancement. Domain experts have …

There are numerous methods to study workflow. However, few produce the kinds of in-depth
analyses needed to understand EHR-mediated workflow. Here we investigated variations in …

Many medical information systems record data about the executed process instances in the
form of an event log. In this paper, we present a framework, able to convert actions in the …

The traces of process executions are a strategic source of information, from which a model of
the process can be mined. In our recent work, we have proposed SIM (semantic interactive …