DBScholar

Back to papers

Aggregate Estimation Over Dynamic Hidden Web Databases

Summary: Introduces aggregate estimation and tracking for dynamic hidden-web databases accessed through restrictive forms and tight query budgets. Develops update-aware algorithms with theoretical analysis and real-world validation, outperforming repeatedly rerun static estimators. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10959
Venue
VLDB
Year
2014
Pagerank
5.2427667e-05
Overall Rank
9,650 | 33.80%
DOI
10.14778/2733004.2733007

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{liu_vldb14,
        title = {{Aggregate Estimation Over Dynamic Hidden Web Databases}},
        author = {Liu, Weimo and Thirumuruganathan, Saravanan and Zhang, Nan and Das, Gautam},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {12},
        pages = {1107--1118},
        doi = {10.14778/2733004.2733007},
        url = {https://doi.org/10.14778/2733004.2733007},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers