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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
3949
Venue
SIGMOD
Year
2007
Pagerank
6.0613238e-05
Overall Rank
5,868 | 59.75%
DOI
10.1145/1247480.1247550

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dasgupta_sigmod07,
        title = {{A Random Walk Approach to Sampling Hidden Databases}},
        author = {Dasgupta, Arjun and Das, Gautam and Mannila, Heikki},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247550},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247550},
        year = {2007}
}

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