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ORCIDMajid Rafiei
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2020 – today
- 2024
[c20]Ali Norouzifar
, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst:
Process Variant Analysis Across Continuous Features: A Novel Framework. BPMDS/EMMSAD@CAiSE 2024: 129-142- [c19]Gyunam Park, Majid Rafiei, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning. CAiSE Forum 2024: 20-28 - [i16]Alessandro Berti, 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, Wil M. P. van der Aalst:
OCEL (Object-Centric Event Log) 2.0 Specification. CoRR abs/2403.01975 (2024) - [i15]Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst:
Process Variant Analysis Across Continuous Features: A Novel Framework. CoRR abs/2406.04347 (2024) - 2023
- [b1]Majid Rafiei:
Privacy and confidentiality in process mining. RWTH Aachen University, Germany, 2023 - [j5]Majid Rafiei, Wil M. P. van der Aalst:
An Abstraction-Based Approach for Privacy-Aware Federated Process Mining. IEEE Access 11: 33697-33714 (2023) - [j4]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
A generic approach to extract object-centric event data from databases supporting SAP ERP. J. Intell. Inf. Syst. 61(3): 835-857 (2023) - [c18]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. ICPM Workshops 2023: 361-374 - [c17]Nina Graves, István Koren, Majid Rafiei, Wil M. P. van der Aalst:
From Identities to Quantities: Introducing Items and Decoupling Points to Object-Centric Process Mining. ICPM Workshops 2023: 462-474 - [c16]Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst:
TraVaG: Differentially Private Trace Variant Generation Using GANs. RCIS 2023: 415-431 - [i14]Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst:
TraVaG: Differentially Private Trace Variant Generation Using GANs. CoRR abs/2303.16704 (2023) - [i13]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. CoRR abs/2310.02735 (2023) - 2022
- [j3]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani, Agnes Koschmider, Felix Mannhardt, Saskia Nuñez von Voigt, Majid Rafiei, Leopold von Waldthausen:
Privacy and Confidentiality in Process Mining: Threats and Research Challenges. ACM Trans. Manag. Inf. Syst. 13(1): 11:1-11:17 (2022) - [c15]Majid Rafiei, Gamal Elkoumy, Wil M. P. van der Aalst:
Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. CoopIS 2022: 75-94 - [c14]Julian Weber, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
Interactive Process Identification and Selection from SAP ERP (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 61-64 - [c13]Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst:
TraVaS: Differentially Private Trace Variant Selection for Process Mining. ICPM Workshops 2022: 114-126 - [c12]Mahsa Pourbafrani, Majid Rafiei, Alessandro Berti, Wil M. P. van der Aalst:
Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool. RCIS 2022: 735-743 - [i12]Majid Rafiei, Gamal Elkoumy, Wil M. P. van der Aalst:
Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. CoRR abs/2208.01886 (2022) - [i11]Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst:
TraVaS: Differentially Private Trace Variant Selection for Process Mining. CoRR abs/2210.14951 (2022) - [i10]Julian Weber, Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
Interactive Process Identification and Selection from SAP ERP. CoRR abs/2212.06514 (2022) - 2021
- [j2]Majid Rafiei, Wil M. P. van der Aalst:
Group-based privacy preservation techniques for process mining. Data Knowl. Eng. 134: 101908 (2021) - [c11]Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst:
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. BPM (PhD/Demos) 2021: 106-110 - [c10]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Continuous Event Data Publishing. BPM (Forum) 2021: 178-194 - [c9]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
An Event Data Extraction Approach from SAP ERP for Process Mining. ICPM Workshops 2021: 255-267 - [c8]Andrew Pery, Majid Rafiei, Michael Simon, Wil M. P. van der Aalst:
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. ICPM Workshops 2021: 395-407 - [i9]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. CoRR abs/2101.02627 (2021) - [i8]Majid Rafiei, Wil M. P. van der Aalst:
Group-Based Privacy Preservation Techniques for Process Mining. CoRR abs/2105.11983 (2021) - [i7]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Continuous Event Data Publishing. CoRR abs/2105.11991 (2021) - [i6]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani, Agnes Koschmider, Felix Mannhardt, Saskia Nuñez von Voigt, Majid Rafiei, Leopold von Waldthausen:
Privacy and Confidentiality in Process Mining - Threats and Research Challenges. CoRR abs/2106.00388 (2021) - [i5]Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst:
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. CoRR abs/2107.14499 (2021) - [i4]Andrew Pery, Majid Rafiei, Michael Simon, Wil M. P. van der Aalst:
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. CoRR abs/2110.02707 (2021) - [i3]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
An Event Data Extraction Approach from SAP ERP for Process Mining. CoRR abs/2110.03467 (2021) - 2020
- [c7]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. BPM (PhD/Demos) 2020: 92-96 - [c6]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. BPM (Forum) 2020: 122-138 - [c5]Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. ICPM Workshops 2020: 385-397 - [c4]Majid Rafiei, Miriam Wagner, Wil M. P. van der Aalst:
TLKC-Privacy Model for Process Mining. RCIS 2020: 398-416 - [i2]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. CoRR abs/2009.11542 (2020) - [i1]Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. CoRR abs/2012.12031 (2020)
2010 – 2019
- 2019
- [c3]Majid Rafiei, Wil M. P. van der Aalst:
Mining Roles from Event Logs While Preserving Privacy. Business Process Management Workshops 2019: 676-689 - [c2]Majid Rafiei, Leopold von Waldthausen, Wil M. P. van der Aalst:
Supporting Confidentiality in Process Mining Using Abstraction and Encryption. SIMPDA 2019: 101-123 - 2018
- [c1]Majid Rafiei, Leopold von Waldthausen, Wil M. P. van der Aalst:
Ensuring Confidentiality in Process Mining. SIMPDA 2018: 3-17 - 2015
- [j1]Majid Rafiei, Ahmad A. Kardan:
A novel method for expert finding in online communities based on concept map and PageRank. Hum. centric Comput. Inf. Sci. 5: 10 (2015)
Coauthor Index
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last updated on 2024-07-15 00:12 CEST by the dblp team
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