[2604.06520] Database Querying under Missing Values Governed by Missingness Mechanisms

[2604.06520] Database Querying under Missing Values Governed by Missingness Mechanisms

arXiv - AI 3 min read

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Abstract page for arXiv paper 2604.06520: Database Querying under Missing Values Governed by Missingness Mechanisms

Computer Science > Databases arXiv:2604.06520 (cs) [Submitted on 7 Apr 2026] Title:Database Querying under Missing Values Governed by Missingness Mechanisms Authors:Leopoldo Bertossi, Farouk Toumani, Maxime Buron View a PDF of the paper titled Database Querying under Missing Values Governed by Missingness Mechanisms, by Leopoldo Bertossi and 1 other authors View PDF Abstract:We address the problems of giving a semantics to- and doing query answering (QA) on a relational database (RDB) that has missing values (MVs). The causes for the latter are governed by a Missingness Mechanism that is modelled as a Bayesian Network, which represents a Missingness Graph (MG) and involves the DB attributes. Our approach considerable departs from the treatment of RDBs with NULL (values). The MG together with the observed DB allow to build a block-independent probabilistic DB, on which basis we propose two QA techniques that jointly capture probabilistic uncertainty and statistical plausibility of the implicit imputation of MVs. We obtain complexity results that characterize the computational feasibility of those approaches. Comments: Subjects: Databases (cs.DB); Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO) Cite as: arXiv:2604.06520 [cs.DB]   (or arXiv:2604.06520v1 [cs.DB] for this version)   https://doi.org/10.48550/arXiv.2604.06520 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Leopoldo Bertossi [view email] [v1] Tue...

Originally published on April 09, 2026. Curated by AI News.

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