2 citations · 4 across the 3 of their papers we have counts for
3 papers
Extending Desbordante with Probabilistic Functional Dependency Discovery Support
Ilia Barutkin, Maxim Fofanov, Sergey Belokonny +2
Data profiling aims to extract complex patterns from data for further analysis and use that data in domains such as data cleaning, data deduplication, anomaly detection, and many m…
Solving Data Quality Problems with Desbordante: a Demo
George Chernishev, Michael Polyntsov, Anton Chizhov +23
Data profiling is an essential process in modern data-driven industries. One of its critical components is the discovery and validation of complex statistics, including functional…
Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)
George Chernishev, Michael Polyntsov, Anton Chizhov +20
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 patter…