Deducing Case IDs for Unlabeled Event Logs. - Dina Bayomie; Iman M. A. Helal; Ahmed Awad 001; Ehab Ezat; Ali El Bastawissi (Business Process Management Workshops, 2015)

Correlating Unlabeled Events from Cyclic Business Processes Execution. - Dina Bayomie; Ahmed Awad 001; Ehab Ezat (CAiSE, 2016)

A Probabilistic Approach to Event-Case Correlation for Process Mining. - Dina Bayomie; Claudio Di Ciccio; Marcello La Rosa; Jan Mendling (ER, 2019)

Visualizing Business Process Evolution. - Anton Yeshchenko; Dina Bayomie; Steven Groß; Jan Mendling (BPMDS/EMMSAD@CAiSE, 2020)

Space-Time Cube Operations in Process Mining. - Dina Bayomie; Lukas Pfahlsberger; Kate Revoredo; Jan Mendling (PoEM, 2020)

Multi-perspective Process Analysis: Mining the Association Between Control Flow and Data Objects. - Dina Bayomie; Kate Revoredo; Jan Mendling (CAiSE, 2022)

Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining. - Dina Bayomie; Kate Revoredo; Claudio Di Ciccio; Jan Mendling (ICPM, 2022)

Analyzing Manufacturing Process By Enabling Process Mining on Sensor Data. - Dina Bayomie; Kate Revoredo; Stefan Bachhofner; Kabul Kurniawan; Elmar Kiesling; Jan Mendling (PoEM Workshops, 2022)

Knowledge Graph Supported Machine Parameterization for the Injection Moulding Industry. - Stefan Bachhofner; Kabul Kurniawan; Elmar Kiesling; Kate Revoredo; Dina Bayomie (KGSWC, 2022)

Event-case correlation for process mining using probabilistic optimization. - Dina Bayomie; Claudio Di Ciccio; Jan Mendling (Inf. Syst., 2023)