Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …

Imagine full transparency regarding operational processes and activities as they actually
happen in your organization. Imagine the power of such insight to reduce complexity and …

It is common for business processes to exhibit a high degree of internal heterogeneity, in the
sense that the executions of the process differ widely from each other due to contextual …

In the last decade, Process Mining has established as an emerging discipline for being
oriented to the discovery, monitoring, and improvement of processes. This article presents …

With the advent of digital transformation, organizations increasingly rely on various
information systems to support their business processes (BPs). Recorded data, including …

Data of sequential nature arise in many application domains in the form of, eg, textual data,
DNA sequences, and software execution traces. Different research disciplines have …

This chapter reflects on the adoption of traditional Process Mining techniques and the
expansion of scope, discussed with five trends. An inconvenient truth explains why—despite …

In the last years, process mining has significantly matured and has increasingly been
applied by companies in industrial contexts. However, with the growing number of process …

Process mining is a discipline sitting between data mining and process science, whose goal
is to provide theoretical methods and software tools to analyse process execution data …

Process workers may vary the normal execution of a business process to adjust to changes
in their operational environment, eg, changes in workload, season, or regulations. Changes …