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Aggregation Algorithms for Very Large Compressed Data Warehouses

Summary: Introduces multidimensional OLAP aggregation/Cube algorithms that operate directly on compressed warehouses, avoiding decompression and supporting diverse compression schemes. Characterizes performance across data/output sizes and memory, with experiments showing gains over traditional methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8800
Venue
VLDB
Year
1999
Pagerank
6.5389699e-05
Overall Rank
4,723 | 67.60%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb99,
        title = {{Aggregation Algorithms for Very Large Compressed Data Warehouses}},
        author = {Li, Jianzhong and Rotem, Doron and Srivastava, Jaideep},
        journal = {PVLDB},
        series = {{VLDB} '99},
        year = {1999}
}

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