Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

The application of process mining techniques to real-life information systems is often
challenging. Considering a Purchase to Pay (P2P) process, several case notions such as …

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

This paper proposes a data-driven procedure to improve productivity in make-to-stock
manufacturing. By leveraging recent developments in information systems research, the …

Process mining, as with any form of data analysis, relies heavily on the quality of input data
to generate accurate and reliable results. A fit-for-purpose event log nearly always requires …

Object-centric process mining is a novel branch of process mining that aims to analyze event
data from mainstream information systems (such as SAP) more naturally, without being …

Process event data is a fundamental building block for process mining as event logs portray
the execution trails of business processes from which knowledge and insights can be …

Process mining helps organizations to investigate how their operational processes are
executed and how these can be improved. Process mining requires event logs extracted …

In the context of Continuous Auditing, different approaches have been proposed to
incorporate data analytics to accomplish a continuous audit environment. Some work …

The integrated management of business processes and master data is being increasingly
considered as a fundamental problem, by both the academia and the industry. In this …