Interactive Process Identification and Selection from SAP ERP

Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs

Explainable Predictive Decision Mining for Operational Support

Detecting Context-Aware Deviations in Process Executions

Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations

A Framework for Extracting and Encoding Features from Object-Centric Event Data

OPerA: Object-Centric Performance Analysis

Event Log Sampling for Predictive Monitoring

Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However, state-of-the-art methods for …

Realizing A Digital Twin of An Organization Using Action-oriented Process Mining

A Digital Twin of an Organization (DTO) is a mirrored representation of an organization, aiming to improve the business process of the organization by providing a transparent view over the process and automating management actions to deal with …

An Event Data Extraction Approach from SAP ERP for Process Mining

The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process mining. In particular, extracting event logs from popular ERP systems such as SAP poses major challenges, given the …