Open Thesis
1- Quality-driven union table search [MSc]
2- Meta-learning fair ML pipeline components [MSc]
3- A unified data representation for few-shot learning [MSc]
4- Predict research trends in data science based on arXiv repository [MSc]
Ongoing Thesis
- Extracting unbiased text from large text corpora (M.Sc.)
- Christoph Becker
- Investigating and improving variable names in data science projects with data mining (M.Sc.)
- Huu Kim Nguyen
- Leveraging Semi-Structured Web Pages for Semantic Information (M.Sc.)
- Fabian Johannsen
- Deklarative sukzessive Halbierung (M.Sc.)
- Ramzi Mezlini
- Improving Label Propagation in the Data Cleaning System Raha (B.Sc.)
- Maximilian Siebenthaler
- Performance Benchmarking of Database MAnagement Systems (B.Sc.)
- Erik Schriefer
Finished Thesis
2022
- Declarative successive halving (M.Sc.)
- Pinliang Li
- Embedding Data Transformations in AutoML (B.Sc.)
- Henrik Tipp
- Opinion mining in social media data based on neural networks to predict bitcoin prices (B.Sc.)
- Marc Speckmann
- Analysing the Influence of social media Influencers on the Bitcoin Price (B.Sc.)
- Omar Allouni
- Analyzing the relation between social media and Bitcoin’s price variation (B.Sc.)
- Ahmed Malek Ghanmi
- From mining Naming Conventions in Data Science Projects to suggesting Variable Names (M.Sc.)
- Philip Ossenkopp
- Scalable Error Detection (B.Sc.)
- Faical Aridal
- Feature Analysis for Agglomerative Clustering (B.Sc.)
- Malte Fabian Kuhlmann
- Detecting table headers in heterogeneous tables (B. Sc.)
- Daniel Ritter
2021
- Instrumentierung von Datenreinigung mit AutoML (B.Sc.)
- Yazan Alkhatib
- Mining social media to discover the factors that affect bitcoin price (B.Sc.)
- Jonathan Friebe
- Multi-attribute join search with map-reduce (B.Sc.)
- Justin Zheng
- Efficient join discovery from large data lakes (B.Sc.)
- Akram Chorfi
- Multi-attribute join search with map-reduce (B.Sc.)
- Meike Liedtke
- Interleaving Data Cleaning and AutoML (B.Sc.)
- Jingwen Ye
