105 citations · 1.4k across the 94 of their papers we have counts for
5 papers · 2 filters
Grouping Local Process Models
Viki Peeva, Wil M. P. van der Aalst
In recent years, process mining emerged as a proven technology to analyze and improve operational processes. An expanding range of organizations using process mining in their daily…
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…
Tailoring Machine Learning for Process Mining
Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani +1
Machine learning models are routinely integrated into process mining pipelines to carry out tasks like data transformation, noise reduction, anomaly detection, classification, and…
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…
Performance-Preserving Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…