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.

Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)

no code implementations • 27 Jul 2021 • Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan van Zelst

In the DFG-funded Cluster of Excellence "Internet of Production" (IoP), process mining is used to create "digital shadows" to improve a wide variety of operational processes.

Friction