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Sampling Cube: A Framework for Statistical OLAP Over Sampling Data

Summary: Proposes Sampling Cube, a framework for OLAP over sampling data with confidence intervals. Uses OLAP grouping to pool similar segments, boosting effective sample size; adds a compact Shell to cut storage while preserving query quality in high-D data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4094
Venue
SIGMOD
Year
2008
Pagerank
6.1336568e-05
Overall Rank
5,651 | 61.23%
DOI
10.1145/1376616.1376695

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod08,
        title = {{Sampling Cube: A Framework for Statistical OLAP Over Sampling Data}},
        author = {Li, Xiaolei and Han, Jiawei and Yin, Zhijun and Lee, Jae-Gil and Sun, Yizhou},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376695},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376695},
        year = {2008}
}

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