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An Audit Environment for Outsourcing of Frequent Itemset Mining

Summary: Audits outsourced frequent itemset mining to guard against mistakes, laziness, or malicious results. Central: artificial itemset planting (AIP) with a database transformation plus a transform-verify pipeline and probabilistic integrity guarantees. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10169
Venue
VLDB
Year
2009
Pagerank
5.093636e-05
Overall Rank
12,547 | 13.92%
DOI
10.14778/1687627.1687758

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BibTeX Citation

@article{wong_vldb09,
        title = {{An Audit Environment for Outsourcing of Frequent Itemset Mining}},
        author = {Wong, W. K. and Cheung, David W. and Hung, Edward and Kao, Ben and Mamoulis, Nikos},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687758},
        url = {https://doi.org/10.14778/1687627.1687758},
        year = {2009}
}

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