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Stretch 'n' Shrink: Resizing Queries to User Preferences

Summary: Stretch 'n' Shrink: a query-design framework that encodes user target answer size and iteratively adjusts the query via feedback to hit that cardinality. Prototype in an open-source data manager with minimal database-engine modifications, signaling practical, deployable integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4131
Venue
SIGMOD
Year
2008
Pagerank
5.093636e-05
Overall Rank
12,563 | 13.81%
DOI
10.1145/1376616.1376741

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Authors

BibTeX Citation

@inproceedings{mishra_sigmod08,
        title = {{Stretch 'n' Shrink: Resizing Queries to User Preferences}},
        author = {Mishra, Chaitanya and Koudas, Nick},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376741},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376741},
        year = {2008}
}

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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
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
380 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00019563191
1,186 Fixed-Precision Estimation of Join Selectivity 1993 PODS 0.00011764128
1,636 Relaxing Join and Selection Queries 2006 VLDB 0.00010156479
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