2019

 

Completed Theses 2019

Name	Study Course	Topic
Ding, Kefang	Master	Model Repair by Incorporating Negative Instances In Process Enhancement
Schuster, Daniel	Master	History-Aware Process Monitoring
Lee, Gyumin	Master MMI	Distinguishing Undesired and Desired Infrequent Behavior in Process Mining
Hülsmann, Tom	Bachelor	Integration of MongoDB in PM4Pyfor Preprocessing Event Data and Discover
Yang, Jihoon	Bachelor	Big Data Process Mining in Python: Integra Tion of Spark in PM4PY for Preprocessing Event Data
Lyu, Zheqi	Master	Improved Alignment Repair
Kourani, Humam	Bachelor	Implementation of a Scalable lnteractive Event Data Visualization in Python
Bauerle, Tim	Bachelor	Complex Event Processing on MongoDB
Pohl, Timo	Bachelor	An Inductive Miner Implementation for the PM4Py Framework
Epstein, Yannick	Master	Improving State-Space Traversal of the eST-Miner by Exploiting Underlying
Tacke genannt Unterberg, Daniel	Bachelor	Localized Conformance and Performance Analysis based on Event Data: Diagnosing Individual Places