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Aggregate Evaluability in Statistical Databases

Summary: Models relationships among partitions in statistical summary tables as uniform multipartite intersection hypergraphs, capturing which classes overlap. Under additivity, characterizes cross-table aggregate evaluability and yields polynomial-time tests and query evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8099
Venue
VLDB
Year
1989
Pagerank
5.093636e-05
Overall Rank
13,142 | 9.84%
DOI
-

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BibTeX Citation

@article{malvestuto_vldb89,
        title = {{Aggregate Evaluability in Statistical Databases}},
        author = {Malvestuto, F. M. and Moscarini, M.},
        journal = {PVLDB},
        series = {{VLDB} '89},
        pages = {279--288},
        year = {1989}
}

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

Rank Cited Paper Year Venue Pagerank
249 Statistical Databases: Characteristics, Problems, and Some Solutions 1982 VLDB 0.00023275528
5,090 Handling Summary Information In A Database: Derivability 1981 SIGMOD 6.367045e-05
13,153 The derivation problem for summary data 1988 SIGMOD 5.093636e-05
14,440 Answering Queries In Categorical Data Bases 1987 PODS -
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