Process mining dramatically changed the way we look at process models and operational
processes. Even seemingly simple processes like Purchase-to-Pay (P2P) and Order-to …

The world continues to experience a surge in data generation and digital transformation.
Historic data is increasingly being replaced by modernized data, such as big data, which is …

Process discovery from event logs as well as process prediction using process models at
runtime are increasingly important aspects to improve the operation of digital twins of …

The identification of mediators for physiologic processes, correlation of molecular processes,
or even pathophysiological processes within a single organ such as the kidney or heart has …

Currently, we can witness contradictory expectations when it comes to IT. On the one hand,
there is the belief that Artificial Intelligence (AI) and Machine Learning (ML) will solve most …

Many organizations use process mining to improve their internal processes. However, many
processes span multiple organizations, eg, organizations that form a supply chain or a …

Modern software systems are able to record vast amounts of user actions, stored for later
analysis. One of the main types of such user interaction data is click data: the digital trace of …

With the advent of Industry 4.0, increasing amounts of data on operational processes (eg,
manufacturing processes) become available. These processes can involve hundreds of …

Abstract Changes in society require changes in our industrial production. In order to remain
competitive in the future, the masses of data available in production must be used urgently …

International industrial companies operate complex value streams within production
networks. Therefore, strategic network design aims to identify an efficient value stream from …