Extracting Rules from Event Data for Study Planning

1 code implementation • 4 Oct 2023 • Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst

In this study, we examine how event data from campus management systems can be used to analyze the study paths of higher education students.

Management

TraVaG: Differentially Private Trace Variant Generation Using GANs

no code implementations • 29 Mar 2023 • Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst

Consequently, privacy concerns regarding sensitive and private information included in event data, used by process mining algorithms, are becoming increasingly relevant.

Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities

no code implementations • 6 Oct 2021 • Andrew Pery, Majid Rafiei, Michael Simon, Wil M. P. van der Aalst

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 organizational units, external stakeholders, and systems of record, resulting in process uncertainties and in compliance gaps that may expose organizations to reputational and regulatory risks.