Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications

Authors

• 1. Fedor Turchenko (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
• 2. Runjie Zhang (University of California San Diego)
• 3. Binger Chen (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
• 4. Matthias Boehm (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
• 5. Babak Salimi (University of California San Diego)
• 6. Amir Shaikhha (University of Edinburgh)
• 7. Ziawasch Abedjan (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)

@article{turchenko_vldb26,
        title = {{Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications}},
        author = {Turchenko, Fedor and Zhang, Runjie and Chen, Binger and Boehm, Matthias and Salimi, Babak and Shaikhha, Amir and Abedjan, Ziawasch},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {11},
        pages = {3704--3717},
        doi = {10.14778/3836663.3836719},
        url = {https://doi.org/10.14778/3836663.3836719},
        year = {2026}
}

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