A novel method for expert finding in online communities based on concept map and PageRank. - Majid Rafiei; Ahmad A. Kardan (Hum. centric Comput. Inf. Sci., 2015)

Ensuring Confidentiality in Process Mining. - Majid Rafiei; Leopold von Waldthausen; Wil M. P. van der Aalst (SIMPDA, 2018)

Mining Roles from Event Logs While Preserving Privacy. - Majid Rafiei; Wil M. P. van der Aalst (Business Process Management Workshops, 2019)

Supporting Confidentiality in Process Mining Using Abstraction and Encryption. - Majid Rafiei; Leopold von Waldthausen; Wil M. P. van der Aalst (SIMPDA, 2019)

Privacy-Preserving Data Publishing in Process Mining. - Majid Rafiei; Wil M. P. van der Aalst (BPM (Forum), 2020)

Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. - Majid Rafiei; Wil M. P. van der Aalst (BPM (PhD/Demos), 2020)

Towards Quantifying Privacy in Process Mining. - Majid Rafiei; Wil M. P. van der Aalst (ICPM Workshops, 2020)

TLKC-Privacy Model for Process Mining. - Majid Rafiei; Miriam Wagner; Wil M. P. van der Aalst (RCIS, 2020)

Privacy-Preserving Continuous Event Data Publishing. - Majid Rafiei; Wil M. P. van der Aalst (BPM (Forum), 2021)

PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. - Majid Rafiei; Alexander Schnitzler; Wil M. P. van der Aalst (BPM (PhD/Demos), 2021)

An Event Data Extraction Approach from SAP ERP for Process Mining. - Alessandro Berti 001; Gyunam Park; Majid Rafiei; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. - Andrew Pery; Majid Rafiei; Michael Simon; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Group-based privacy preservation techniques for process mining. - Majid Rafiei; Wil M. P. van der Aalst (Data Knowl. Eng., 2021)

Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. - Majid Rafiei; Gamal Elkoumy; Wil M. P. van der Aalst (CoopIS, 2022)

TraVaS: Differentially Private Trace Variant Selection for Process Mining. - Majid Rafiei; Frederik Wangelik; Wil M. P. van der Aalst (ICPM Workshops, 2022)

Interactive Process Identification and Selection from SAP ERP (Extended Abstract). - Julian Weber; Gyunam Park; Majid Rafiei; Wil M. P. van der Aalst (ICPM Doctoral Consortium / Demo, 2022)

Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool. - Mahsa Pourbafrani; Majid Rafiei; Alessandro Berti 001; Wil M. P. van der Aalst (RCIS, 2022)

Interactive Process Identification and Selection from SAP ERP. - Julian Weber; Alessandro Berti 001; Gyunam Park; Majid Rafiei; Wil M. P. van der Aalst (CoRR, 2022)

Privacy and Confidentiality in Process Mining: Threats and Research Challenges. - Gamal Elkoumy; Stephan A. Fahrenkrog-Petersen; Mohammadreza Fani Sani; Agnes Koschmider; Felix Mannhardt; Saskia Nuñez von Voigt; Majid Rafiei; Leopold von Waldthausen (ACM Trans. Manag. Inf. Syst., 2022)

From Identities to Quantities: Introducing Items and Decoupling Points to Object-Centric Process Mining. - Nina Graves; István Koren; Majid Rafiei; Wil M. P. van der Aalst (ICPM Workshops, 2023)

Extracting Rules from Event Data for Study Planning. - Majid Rafiei; Duygu Bayrak; Mahsa Pourbafrani; Gyunam Park; Hayyan Helal; Gerhard Lakemeyer; Wil M. P. van der Aalst (ICPM Workshops, 2023)

TraVaG: Differentially Private Trace Variant Generation Using GANs. - Majid Rafiei; Frederik Wangelik; Mahsa Pourbafrani; Wil M. P. van der Aalst (RCIS, 2023)

An Abstraction-Based Approach for Privacy-Aware Federated Process Mining. - Majid Rafiei; Wil M. P. van der Aalst (IEEE Access, 2023)

Privacy and confidentiality in process mining. - Majid Rafiei (2023)

A generic approach to extract object-centric event data from databases supporting SAP ERP. - Alessandro Berti 001; Gyunam Park; Majid Rafiei; Wil M. P. van der Aalst (J. Intell. Inf. Syst., 2023)

Process Variant Analysis Across Continuous Features: A Novel Framework. - Ali Norouzifar; Majid Rafiei; Marcus Dees; Wil M. P. van der Aalst (BPMDS/EMMSAD@CAiSE, 2024)

Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning. - Gyunam Park; Majid Rafiei; Hayyan Helal; Gerhard Lakemeyer; Wil M. P. van der Aalst (CAiSE Forum, 2024)

OCEL (Object-Centric Event Log) 2.0 Specification. - Alessandro Berti 001; István Koren; Jan Niklas Adams; Gyunam Park; Benedikt Knopp; Nina Graves; Majid Rafiei; Lukas Liß; Leah Tacke genannt Unterberg; Yisong Zhang; Christopher T. Schwanen; Marco Pegoraro 001; et al. (CoRR, 2024)

Identifying Process Improvement Opportunities Through Process Execution Benchmarking. - Luka Abb; Majid Rafiei; Timotheus Kampik; Jana-Rebecca Rehse (BPMDS/EMMSAD@CAiSE, 2025)

Releasing differentially private event logs using generative models. - Frederik Wangelik; Majid Rafiei; Mahsa Pourbafrani; Wil M. P. van der Aalst (Data Knowl. Eng., 2025)

Federated conformance checking. - Majid Rafiei; Mahsa Pourbafrani; Wil M. P. van der Aalst (Inf. Syst., 2025)

Analyzing interconnected processes: using object-centric process mining to analyze procurement processes. - Alessandro Berti 001; Urszula Jessen; Gyunam Park; Majid Rafiei; Wil M. P. van der Aalst (Int. J. Data Sci. Anal., 2025)