Youri Kaminsky

Ph.D. student at the chair for Infomation Systems at Hasso Plattner Institute for Digital Engineering.
I am most active in the data profiling research group.

Contact Information

Hasso-Plattner-Institut für Digital Engineering gGmbH
Prof.-Dr.-Helmert-Str. 2-3
D-14482 Potsdam, Germany

 


Office: F-2.07
Phone: +49-331-5509-286
E-Mail: Youri Kaminsky
GitHub

Research Interests

  • Data Profiling
  • Data engineering

Publications

  • Incremental Detection of Denial Constraint Violations
    Youri Kaminsky, Eduardo Pena, Felix Naumann
    Proceedings of the 51st International Conference on Very Large Data Bases (VLDB), 2025
    [Project Page] [DOI:10.14778/3717755.3717761]
  • Discovering Similarity Inclusion Dependencies
    Youri Kaminsky, Eduardo Pena, Felix Naumann
    Proceedings of the ACM on Management of Data (PACMMOD) (2023)
    [Paper] [Project Page] [DOI:10.1145/3588929]
  • Repairing Databases over Metric Spaces with Coincidence Constraints
    Youri Kaminsky, Benny Kimelfeld, Ester Livshits, Felix Naumann, David Wajc
    Proceedings of the 28th International Conference on Database Theory (ICDT), 2025
    [DOI:10.4230/LIPIcs.ICDT.2025.14]
  • Meaningful Data Erasure in the Presence of Dependencies
    Vishal Chakraborty, Youri Kaminsky, Sharad Mehrotra, Felix Naumann, Faisal Nawab, Primal Pappachan, Mohammad Sadoghi, Nalini Venkatasubramanian
    Proceedings of the 51st International Conference on Very Large Data Bases (VLDB), 2025
    [Project Page] [DOI:10.14778/3748191.3748206]
  • BCNF* - From Normalized- to Star-Schemas and Back Again (demo)
    Marie Fischer, Paul Roessler, Paul Sieben, Janina Adamcic, Christoph Kirchherr, Tobias Sträubig, Youri Kaminsky, Felix Naumann
    Proceedings of Companion of the 2023 International Conference on Management of Data (SIGMOD-Companion ’23), 2023
    [Paper] [Project Page] [DOI:10.1145/3555041.3589712]

Teaching

Teaching Assistant:

Lectures:

  • Guest Lecture about DC Violation Detection for the Data Profiling course (2023)

Master Thesis (supervision):

  • Efficient Discovery of Conditional Unique Column Combinations (Torben Meyer, 2022)
  • Incremental Order Dependency Discovery (Paul Sieben, 2025)

Bachelor Projects:

  • BCNF* – Automatic Schema Discovery and Data Transformation for Data Warehouses (2021/2022)

Seminars:

  • Advanced Data Profiling: Classifying Genuineness (Master, 2025/2026)
  • Advanced Data Profiling: Order Dependency Inference (Master, 2023/2024)
  • Advanced Data Profiling: Approximate Dependency Discovery (Master, 2022)