Purpose The purpose of this paper is to review empirical studies on process mining in order
to understand its use by organizations. The paper further aims to outline future research …

Process mining, an emerging data analytics method, has been used effectively in various
healthcare contexts including oncology, the study of cancer. Cancer is a complex disease …

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 …

Business process mining is a new method that amalgamates business process modelling
and analysis with data mining and machine learning techniques, whereby knowledge from …

Compliance checking is gaining importance as today's organizations need to show that their
business practices are in accordance with predefined (legal) requirements. Current …

Business process work-arounds are specific forms of incompliant behavior, where
employees intentionally decide to deviate from the required procedures although they are …

Low-code development platforms (LCDPs) are attracting considerable interest because they
promise shorter development cycles, the inclusion of business knowledge in the …

The collection and long-term retention of excessive data enables organisations to process
data for insights in non-primary processes. The discovery of insights is promoted to be useful …

In a bid to ensure privacy of personal data of data subjects, the General Data Protection
Regulation (GDPR) entails stringent obligations on organizations and businesses qualifying …

Mission critical software is often required to comply with multiple regulations, standards or
policies. Recent paradigms, such as cloud computing, also require software to operate in …