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BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration

Summary: StatMiner learns coverage and overlap for data integration via a hierarchical classifier and thresholded learning to adapt resolution. Demonstrates on BibFinder, autonomous sources with uneven coverage, learned stats speeding query processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9255
Venue
VLDB
Year
2003
Pagerank
6.0274692e-05
Overall Rank
5,962 | 59.10%
DOI
10.1016/B978-012722442-8/50114-2

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nie_vldb03,
        title = {{BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration}},
        author = {Nie, Zaiqing and Kambhampati, Subbarao and Hernandez, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50114-2},
        url = {https://doi.org/10.1016/B978-012722442-8/50114-2},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
12,183 Online Ordering of Overlapping Data Sources 2014 VLDB 5.093636e-05
12,373 Large-Scale Copy Detection 2011 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
27 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00052255472
1,858 Using Probabilistic Information in Data Integration 1997 VLDB 9.6035277e-05
3,349 Quality-driven Integration of Heterogeneous Information Systems 1999 VLDB 7.4942642e-05
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