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Efficient Allocation Algorithms for OLAP over Imprecise Data

Summary: Scalable, iterative allocation for producing the Extended Database from imprecise fact tables to support OLAP on uncertain data. Tackles multi-iteration inefficiency, delivering optimized allocation and an empirical evaluation vs naive approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9645
Venue
VLDB
Year
2006
Pagerank
6.171506e-05
Overall Rank
5,565 | 61.83%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{burdick_vldb06,
        title = {{Efficient Allocation Algorithms for OLAP over Imprecise Data}},
        author = {Burdick, Doug and Deshpande, Prasad M. and Jayram, T.S. and Ramakrishnan, Raghu and Vaithyanathan, Shivakumar},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {391--402},
        year = {2006}
}

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