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Informatik 5
Information Systems
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Prof. Dr. Christoph Quix - Theses


Master
Data Lake System for high velocity Data Streams for Production Systems - Running
Supervised by Prof. Dr. Christoph Quix, Reinhart Poprawe; Advisor(s): M.Eng. Rihan Hai, Moritz Kröger
Master
Feature Clustering and Visualization of High Dimensional Data using Clique Cover Theory - Running
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
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): Dr. Sandra Geisler, Jermain Kaminski, Arne Peine