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A Random Walk Approach to Sampling Hidden Databases

Summary: Random-walk over the interface query space to obtain a uniform sample of a hidden backend database accessed via form-like web interfaces. Fixed vs random attribute ordering and a probabilistic rejection technique improve sample quality; extensive experiments show accuracy and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3887
Venue
SIGMOD
Year
2007
Pagerank
5.668209e-05
Overall Rank
5,140 | 64.25%
DOI
-

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