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Detecting Attribute Dependencies from Query Feedback

Summary: Feedback-driven method to detect dependent attribute pairs, avoiding combinatorial search by focusing on user-relevant pairs. Introduces a chi-squared variant for missing contingency data and a ranking scheme to prioritize multivariate statistics in catalogs, stable under sparse feedback. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9633
Venue
VLDB
Year
2007
Pagerank
4.3310217e-05
Overall Rank
9,524 | 33.75%
DOI
-

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Rank Citing Paper Year Venue Pagerank
6,874 ROX: Run-time Optimization of XQueries 2009 SIGMOD 4.8978984e-05
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