Desbordante: from benchmarking suite to high-performance science-intensive data profiler
Pioneering data profiling systems — such as Metanome and OpenClean — brought public attention to science-intensive data profiling. This type of profiling aims to extract complex patterns, such as data dependencies, data constraints, association rules, and others. However, these tools are research prototypes rather than production-ready systems.
Authors
- Ilya Shchuckin (ORCID: https://orcid.org/0009-0009-3390-5088)
- Maxim Strutovsky (ORCID: https://orcid.org/0000-0002-3664-4604)
- Alexey Shlyonskikh
- Nikita Bobrov (ORCID: https://orcid.org/0000-0002-2779-7836)
- Mikhail Vyrodov
- Arthur Saliou
- Anton Chizhov (ORCID: https://orcid.org/0009-0007-3042-345X)
- Kirill Stupakov
- Michael Polyntsov (ORCID: https://orcid.org/0000-0001-7356-2504)
- Dmitriy Shcheka
- Liana-Iuliia Soloveva
- Vladislav Shalnev
- Ilia Barutkin
- Eduard Gaisin
- Kirill Smirnov (ORCID: https://orcid.org/0000-0003-4727-3455)
- Anna Rakhmukova
- Stepan Manannikov
- George Chernishev (ORCID: https://orcid.org/0000-0002-4265-9642)
- Yaroslav Kurbatov
- Mikhail Firsov (ORCID: https://orcid.org/0000-0001-6739-7303)
- Sergey Belokonny
- Yakov Kuzin
- Dmitriy Popov
- Daniil Goncharov
- A. M. Demchenko
- Kirill Muraviev
- Michael Sinelnikov
- Alexander Smirnov (ORCID: https://orcid.org/0009-0008-3544-6447)
- Vadim Yakshigulov
- Anton Chernikov
- Grigorii Abrosimov
Institutions
- National Research University Higher School of Economics (RU)
- St Petersburg University (RU)
- Independent University of Moscow (RU)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1145/3703323.3703725
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00