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)

Paper ID: 780
Venue: PODS
Year: 1987
Pagerank: -
Overall Rank: 14,440 | 0.93%
DOI: 10.1145/28659.28668

Incoming Non-self Citations Over Time

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Authors

1. F. M. Malvestuto (Italian National Agency for New Technologies, Energy and Sustainable Economic Development)

BibTeX Citation

@inproceedings{malvestuto_pods87,
        address = {New York, NY, USA},
        series = {{PODS} '87},
        title = {{ANSWERING QUERIES IN CATEGORICAL DATA BASES}},
        url = {https://dl.acm.org/doi/10.1145/28659.28668},
        doi = {10.1145/28659.28668},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Malvestuto, F. M.},
        year = {1987}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
13,142	Aggregate Evaluability in Statistical Databases	1989	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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