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Detecting Attribute Dependencies from Query Feedback

Summary: Finds dependent attribute pairs from query feedback without combinatorial search, combining sparse contingency-table evidence via a robust chi-squared variant. Ranks dependencies to retain the most valuable multivariate statistics under catalog budgets, remaining stable with few feedback records. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h0fa46bcbc4bfd66c
Venue
VLDB
Year
2007
Pagerank
5.1213286e-05
Overall Rank
9,845 | 33.81%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{haas_vldb07,
        title = {{Detecting Attribute Dependencies from Query Feedback}},
        author = {Haas, Peter J. and Hueske, Fabian and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {830--841},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,800 ROX: Run-time Optimization of XQueries 2009 SIGMOD 5.6792071e-05
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Outgoing Citations (Sorted by Pagerank)

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

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