Abstract: Highlights•We introduced the notion of logical dependencies in tabular data.•We introduce a novel Bayesian measure to identify logical dependencies.•State-of-the-art models are not able to preserve functional dependencies.•Our results show that state-of-the-art algorithms can preserve logical dependencies.
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