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Efficacious Data Cube Exploration by Semantic Summarization and Compression

Summary: Introduces quotient cubes, grouping structurally related cells with identical aggregate values while preserving rollup/drill-down semantics. Compact representations enable compressed construction, query answering, and incremental maintenance, demonstrated in the SOCQET OLAP system. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9264
Venue
VLDB
Year
2003
Pagerank
5.3968286e-05
Overall Rank
8,629 | 40.80%
DOI
10.1016/B978-012722442-8/50121-X

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lakshmanan_vldb03,
        title = {{Efficacious Data Cube Exploration by Semantic Summarization and Compression}},
        author = {Lakshmanan, Laks V.S. and Pei, Jian and Zhao, Yan},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50121-X},
        url = {https://doi.org/10.1016/B978-012722442-8/50121-X},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,407 Quotient Cube: How to Summarize the Semantics of a Data Cube 2002 VLDB 7.4391131e-05
3,774 QC-Trees: An Efficient Summary Structure for Semantic OLAP 2003 SIGMOD 7.1381444e-05
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