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Analyzing an After-Sales Service Process Using Object-Centric ProcessMining: A Case Study

Checking Constraints for Object-Centric Process Executions

Extracting Rules from Event Data for Study Planning

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 …