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Query Flocks: A Generalization of Association-Rule Mining

Summary: Query Flocks generalizes association-rule mining to a class of patterns via a generate-and-test framework for data. In Datalog, query-safety enumerates candidates for a generalized a-priori, enabling cost-based optimization or dynamic pruning during execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3059
Venue
SIGMOD
Year
1998
Pagerank
8.8684789e-05
Overall Rank
2,251 | 84.56%
DOI
10.1145/276304.276306

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tsur_sigmod98,
        title = {{Query Flocks: A Generalization of Association-Rule Mining}},
        author = {Tsur, Dick and Ullman, Jeffrey D. and Abiteboul, Serge and Clifton, Chris and Motwani, Rajeev and Nestorov, Svetlozar and Rosenthal, Arnon},
        series = {{SIGMOD} '98},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/276304.276306},
        url = {https://dl.acm.org/doi/10.1145/276304.276306},
        year = {1998}
}

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
13 Mining Association Rules between Sets of Items in Large Databases 1993 SIGMOD 0.0006567919
27 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00052255472
853 Queries Independent of Updates 1993 VLDB 0.00013587101
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