11 citations · 15 across the 8 of their papers we have counts for
10 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…
Evaluation of Study Plans using Partial Orders
Christian Rennert, Mahsa Pourbafrani, Wil van der Aalst
In higher education, data is collected that indicate the term(s) that a course is taken and when it is passed. Often, study plans propose a suggested course order to students. Stud…
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 Improvement using Simulation of Enriched Process Trees
Mahsa Pourbafrani, Wil M. P. van der Aalst
Event data provide the main source of information for analyzing and improving processes in organizations. Process mining techniques capture the state of running processes w.r.t. va…
SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees
Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst
Process mining techniques including process discovery, conformance checking, and process enhancement provide extensive knowledge about processes. Discovering running processes and…
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi +3
Operational processes in production, logistics, material handling, maintenance, etc., are supported by cyber-physical systems combining hardware and software components. As a resul…
A Python Extension to Simulate Petri nets in Process Mining
M. Pourbafrani, Sandhya Vasudevan, Faizan Zafar +3
The capability of process mining techniques in providing extensive knowledge and insights into business processes has been widely acknowledged. Process mining techniques support di…
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
Mahsa Pourbafrani, Wil M. P. van der Aalst
Process mining extends far beyond process discovery and conformance checking, and also provides techniques for bottleneck analysis and organizational mining. However, these techniq…