Answering Queries In Categorical Data Bases
Summary: Universal Table Model: view a compatible categorical DB as a maximum-entropy contingency table to answer cross-classified queries exactly when supported, otherwise provide max-entropy estimates. Optimizes via reduction and graph-contraction on the join graph to compute max-entropy distributions for acyclic and cyclic schemas and minimize computation. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 12,947 | Aggregate Evaluability In Statistical Databases | 1989 | VLDB | 4.1945683e-05 |
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