45 citations · 89 across the 12 of their papers we have counts for
17 papers
Releasing Differentially Private Event Logs Using Generative Models
Frederik Wangelik, Majid Rafiei, Mahsa Pourbafrani +1
In recent years, the industry has been witnessing an extended usage of process mining and automated event data analysis. Consequently, there is a rising significance in addressing…
Federated Conformance Checking
Majid Rafiei, Mahsa Pourbafrani, Wil M. P. van der Aalst
Conformance checking is a crucial aspect of process mining, where the main objective is to compare the actual execution of a process, as recorded in an event log, with a reference…
OCEL (Object-Centric Event Log) 2.0 Specification
Alessandro Berti, Istvan Koren, Jan Niklas Adams +10
Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM tech…
Extracting Rules from Event Data for Study Planning
Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani +4
In this study, we examine how event data from campus management systems can be used to analyze the study paths of higher education students. The main goal is to offer valuable guid…
TraVaG: Differentially Private Trace Variant Generation Using GANs
Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani +1
Process mining is rapidly growing in the industry. Consequently, privacy concerns regarding sensitive and private information included in event data, used by process mining algorit…
Interactive Process Identification and Selection from SAP ERP
Julian Weber, Alessandro Berti, Gyunam Park +2
SAP ERP is one of the most popular information systems supporting various organizational processes, e.g., O2C and P2P. However, the amount of processes and data contained in SAP ER…
TraVaS: Differentially Private Trace Variant Selection for Process Mining
Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst
In the area of industrial process mining, privacy-preserving event data publication is becoming increasingly relevant. Consequently, the trade-off between high data utility and qua…
Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing
Majid Rafiei, Gamal Elkoumy, Wil M. P. van der Aalst
Process mining employs event data extracted from different types of information systems to discover and analyze actual processes. Event data often contain highly sensitive informat…
An Event Data Extraction Approach from SAP ERP for Process Mining
Alessandro Berti, Gyunam Park, Majid Rafiei +1
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…
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities
Andrew Pery, Majid Rafiei, Michael Simon +1
The premise of this paper is that compliance with Trustworthy AI governance best practices and regulatory frameworks is an inherently fragmented process spanning across diverse org…
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining
Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst
Process mining enables business owners to discover and analyze their actual processes using event data that are widely available in information systems. Event data contain detailed…
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani +5
Privacy and confidentiality are very important prerequisites for applying process mining in order to comply with regulations and keep company secrets. This paper provides a foundat…
Privacy-Preserving Continuous Event Data Publishing
Majid Rafiei, Wil M. P. van der Aalst
Process mining enables organizations to discover and analyze their actual processes using event data. Event data can be extracted from any information system supporting operational…
Group-Based Privacy Preservation Techniques for Process Mining
Majid Rafiei, Wil M. P. van der Aalst
Process mining techniques help to improve processes using event data. Such data are widely available in information systems. However, they often contain highly sensitive informatio…
Privacy-Preserving Data Publishing in Process Mining
Majid Rafiei, Wil M. P. van der Aalst
Process mining aims to provide insights into the actual processes based on event data. These data are often recorded by information systems and are widely available. However, they…
Towards Quantifying Privacy in Process Mining
Majid Rafiei, Wil M. P. van der Aalst
Process mining employs event logs to provide insights into the actual processes. Event logs are recorded by information systems and contain valuable information helping organizatio…
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining
Majid Rafiei, Wil M. P. van der Aalst
Process mining techniques such as process discovery and conformance checking provide insights into actual processes by analyzing event data that are widely available in information…