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 …

In recent years, data science emerged as a new and important discipline. It can be viewed
as an amalgamation of classical disciplines like statistics, data mining, databases, and …

Purpose This study explores how process managers perceive the adoption, use and
management of process mining in practice. While research in process mining predominantly …

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 …

Process mining techniques require event logs which, in many cases, are obtained from
databases. Obtaining these event logs is not a trivial task and requires substantial domain …

Pen and paper-based value stream map** (VSM) is the established tool for recording
processes, identifying waste and deriving recommendations for action. However, today, its …

This paper addresses the problem of comparing different variants of the same process. We
aim to detect relevant differences between processes based on what was recorded in event …

Abstract Big Earth Data-Cube infrastructures are becoming more and more popular to
provide Analysis Ready Data, especially for managing satellite time series. These …

Cloud computing has gained popularity in recent years, but with its rise comes concerns
about data security. Unauthorized access and attacks on cloud-based data, applications …

This paper addresses the problem of comparing different variants of the same process. We
aim to detect relevant differences between processes based on what was recorded in event …