Open Thesis

1- Performance Benchmarking of Database Management Systems [BSc]

2- Extracting Unbiased Text from Large Text Corpora [MSc]

3- Quality-driven union table search [MSc]

Ongoing Thesis

• 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
• Declarative successive halving (M.Sc.)
  • Pinliang Li

• Deklarative sukzessive Halbierung (M.Sc.)
  • Ramzi Mezlini
• Detecting table headers in heterogeneous tables (B. Sc.)
  • Daniel Ritter
• Improving Label Propagation in the Data Cleaning System Raha (B.Sc.)
  
  • Maximilian Siebenthaler

• 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

Finished Thesis

• 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
• 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