2020

 

Completed Theses 2020

Name	Study Course	Topic
Adams, Niklas	Master	Augmented Change Point Detection in Process Mining by Incorporating Time, Data, and Resource Information
Dohmen, Niklas	Bachelor	Comparative Process Mining in Nursing-Care: A Case Study using Concurrency Profile Clustering
Tsai, Yi-Chan	Master	Complete Trace Detection in Event-Stream Based Process Discovery
Cao, Yukun	Master	Attribute-Driven Hierarchical Clustering of Event Data in Process Mining
Riesen, Ralf	Bachelor	Efficient Conformance Checking on Process Trees using A*
Schneider, David Enzo	Bachelor	Integrating resource and workload awareness in the PM4Py Distributed Engine
Wo, Yan	Master	A Visual Approach Based on Petri Net to Compare Business Processes
Schnitzler, Julian	Bachelor	Alignment Approximation using Subsets of Modeled Behavior (Supervisor: Sebastiaan J. van Zelst)
Georgina Hermes	Bachelor	Implementation of automated feature selection algorithm