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Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications

Summary: Evaluates alternatives for embedding association rule mining in a relational DBMS (cursor, stored procedures, file-cache, UDFs, SQL). Cache-Mine best; SQL-OR near-competitive (within 2x); SQL-92 too slow; tradeoffs: storage, parallelism, portability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6ad5f24bbc3dd7f5
Venue
SIGMOD
Year
1998
Pagerank
0.00012573124
Overall Rank
1,006 | 93.24%
DOI
10.1145/276304.276335

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sarawagi_sigmod98,
        title = {{Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications}},
        author = {Sarawagi, Sunita and Thomas, Shiby and Agrawal, Rakesh},
        series = {{SIGMOD} '98},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/276304.276335},
        url = {https://dl.acm.org/doi/10.1145/276304.276335},
        year = {1998}
}

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13,074 Computing Frequent Itemsets Inside Oracle 10G 2004 VLDB 4.9793485e-05
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Showing 7 of 7 cited papers.

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