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Recovering Information from Summary Data

Summary: Treats reconstructing detail data from range histograms of counts, sums, or averages as a constrained inverse optimization problem. Smoothness-based reconstruction generalizes uniformity/independence assumptions and improves RMSE by up to 90%, with applications to OLAP and query optimization. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8595
Venue
VLDB
Year
1997
Pagerank
0.00013010681
Overall Rank
952 | 93.48%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{faloutsos_vldb97,
        title = {{Recovering Information from Summary Data}},
        author = {Faloutsos, Christos and Jagadish, H. V. and Sidiropoulos, N. D.},
        journal = {PVLDB},
        series = {{VLDB} '97},
        pages = {36--45},
        year = {1997}
}

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