45 citations · 74 across the 7 of their papers we have counts for
11 papers
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…