Abgeschlossene Abschlussarbeiten

  Urheberrecht: Kurt Beyer

Folgende Abschlussarbeiten wurden erfolgreich durchgeführt: 

 

Comparative Process Mining in Nursing-Care: A Case Study using Concurrency Profile Clustering - Niklas Dohmen

Complete Trace Detection in Event-Stream Based Process Discovery - Yi-Chan Tsai

Attribute-Driven Hierarchical Clustering of Event Data in Process Mining - Yukun Cao

Improving State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures - Yannick Epstein

Efficient Conformance Checking on Process Trees using A* - Ralf Riesen

An Inductive Miner Implementation for the PM4Py Framework - Timo Pohl

Localized Conformance and Performance Analysis based on Event Data: Diagnosing Individual Places - Daniel Tacke genannt Unterberg

Distinguishing Undesired and Desired Infrequent Behavior in Process Mining - Gyumin Lee

Complex Event Processing on MongoDB - Tim Bauerle

Integration of Spark in PM4Py for Preprocessing Event Data and Discover Process Models - Jihoon Yang

Integration of MongoDB in PM4Py for Preprocessing Event Data and Discover Process Models - Tom-Hendrik Hülsmann

Improved Alignment Repair - Zheqi Lyu

Implementation of a Scalable Interactive Event Data Visualization in Python - Humam Kourani

History-Aware Process Monitoring - Daniel Schuster

Model Repair by Incorporating Negative Instances In Process Enhancement - Kefang Ding