Process mining aims to improve operational processes in a data-driven manner. To this end,
process mining offers methods and techniques for systematically analyzing event data …

A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …

Artificial intelligence has already proven to be a powerful tool to automate and improve how
we deal with software development processes. The application of artificial intelligence to …

For many organizations, the continuous optimization of their business processes has
become a critical success factor. Several related methods exist that enable the step-by-step …

Process discovery algorithms address the problem of learning process models from event
logs. Typically, in such settings a user's activity is limited to configuring the parameters of the …

Event logs capture the execution of business processes, such that each task is represented
by an event and each individual execution is a chronological sequence of events, called an …

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 …

Conformance checking is a major function of process mining, which allows organizations to
identify and alleviate potential deviations from the intended process behavior. To fully …

In model-driven software engineering, models are used in all phases of the development
process. These models must hold a high quality since the implementation of the systems …

Many of today's information systems record the execution of (business) processes in great
detail. Process mining utilizes such data and aims to extract valuable insights. Process …