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