Desbordante
PulseAugur coverage of Desbordante — every cluster mentioning Desbordante across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Data profiling tool Desbordante enhanced with new dependency discovery techniques · 2 sources tracked
Two new research papers explore advancements in data profiling techniques, focusing on the Desbordante tool. The first paper details optimizations for order dependency discovery algorithms, achieving up to a 10x perform…
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Desbordante data profiler enhances discovery of complex dependencies · 3 sources tracked
Researchers have developed Desbordante, an open-source data profiler implemented in C++, to efficiently discover inclusion dependencies and graph functional dependencies (GFDs). The tool incorporates optimizations such …
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New algorithm accelerates conditional dependency discovery in large datasets
A new algorithm called ParCFDFinder, integrated into the Desbordante data profiler, significantly enhances the discovery of conditional functional dependencies (CFDs). This open-source tool, available in C++ with a Pyth…
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New parallel algorithm ParMaxFEM accelerates frequent episode mining
Researchers have developed a new parallel algorithm called ParMaxFEM for maximal frequent episode mining, improving upon the existing MaxFEM algorithm. This enhanced algorithm is implemented in C++ and integrated into D…
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Desbordante data profiler achieves 40x speedup in dependency discovery
Researchers have developed Desbordante, an open-source data profiler that significantly accelerates the discovery of matching dependencies, a concept crucial for data quality tasks like entity resolution and data integr…