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Probabilistic Database Summarization for Interactive Data Exploration

Summary: Max-Entropy probabilistic summarization yields a compact, queryable representation. Theory and three optimizations accelerate preprocessing and improve accuracy; linear queries have error near sampling, with rare-value discrimination. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9a4a8df6d794f349
Venue
VLDB
Year
2017
Pagerank
5.3472423e-05
Overall Rank
8,363 | 43.78%
DOI
10.14778/3115404.3115410

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{orr_vldb17,
        title = {{Probabilistic Database Summarization for Interactive Data Exploration}},
        author = {Orr, Laurel and Balazinska, Magdalena and Suciu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {10},
        pages = {1154--1165},
        doi = {10.14778/3115404.3115410},
        url = {https://doi.org/10.14778/3115404.3115410},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,253 Sample Debiasing in the Themis Open World Database System 2020 SIGMOD 6.7015395e-05
9,618 SubTab: Data Exploration with Informative Sub-Tables 2022 SIGMOD 5.1505136e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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