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Prof. Dr. Christoph Quix - Theses


Master
Integrated schema generation for Data Lakes - Finished
Completed by in 2020; Supervised by Prof. Dr. Christoph Quix; Advisor(s): Dr. Rihan Hai,
Master
Data Lake System for high velocity Data Streams for Production Systems - Finished
Completed by Ruenz, Maximilian in 2020; Supervised by Prof. Dr. Christoph Quix, Reinhart Poprawe; Advisor(s): Dr. Rihan Hai, , Moritz Kröger
Master
Classification of Mechanically Ventilated Patients Based on Weaning Difficulty - Finished
Completed by Ilias Spyros in 2019; Supervised by Prof. Dr. Christoph Quix, Johannes Bickenbach; Advisor(s): Prof. Dr. Sandra Geisler, Jermain Kaminski, Arne Peine
Master
Schema Inference and Functional Dependency Discovery in Data Lake System - Finished
Completed by in 2019; Supervised by Prof. Dr. Christoph Quix, Anke Schmeink; Advisor(s): Dr. Rihan Hai,
Bachelor
Comparison of Open Source Big Data Integration tools - Finished
Completed by Frauke Schattner in 2019; Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Christoph Quix; Advisor(s): Arnab Chakrabarti, M.Sc.
Master
Feature Clustering and Visualization of High Dimensional Data using Clique Cover Theory - Finished
Completed by Das, Abhijeet in 2019; Supervised by Prof. Dr. Christoph Quix; Advisor(s): Arnab Chakrabarti, M.Sc., Dr. Michael Cochez
Approaches such as clustering and classification that are analytically or computationally manageable in low dimensions become intractable as the dimensions increases. This happens because of a phenomenon known as “the curse of dimensionality” which is commonly observed in high dimensional data. Thus the aim of this thesis is to come up with a novel approach for feature clustering, selection, and visualization using the graph theoretical approach of Clique Covers.
Master
Master
Data Analysis in the Industry Inferring causal relations in Industrial Data - Finished
Completed by Syed, Muhammad Ali in 2018; Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Christoph Quix; Advisor(s): Dr. Christoph Paulitsch, Dr.-Ing. Matthias Loskyll