Purpose–This paper seeks to examine the area of business process mining, providing an
overview of state‐of‐the‐art techniques. An outline of the main problems experienced in the …

Process mining includes the automated discovery of processes from event logs. Based on
observed events (eg, activities being executed or messages being exchanged) a process …

One of the aims of process mining is to retrieve a process model from an event log. The
discovered models can be used as objective starting points during the deployment of …

Process mining aims at extracting information from event logs to capture the business
process as it is being executed. Process mining is particularly useful in situations where …

Event data are collected in logistics, manufacturing, finance, health care, customer
relationship management, e‐learning, e‐government, and many other domains. The events …

The topic of process mining has attracted the attention of both researchers and tool vendors
in the Business Process Management (BPM) space. The goal of process mining is to …

The deployment of Workflow Management systems is a timeconsuming and error-prone
task. A possible solution is process mining, which automatically extracts workflow models …

One approach to secure systems is through the analysis of audit trails. An audit trail is a
record of all events that take place in a system and across a network, ie, it provides a trace of …

In this paper we give an overview, how to apply region based methods for the synthesis of
Petri nets from languages to process mining. The research domain of process mining aims …

Business processes are prone to unexpected changes, as process workers may suddenly or
gradually start executing a process differently in order to adjust to changes in workload …