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Composite Subset Measures

Summary: Introduces composite subset measures that aggregate base records and measures of related multidimensional subsets, extending GROUP BY/CUBE with targeted, multi-level summaries. AW-RA and aggregation workflows express these queries and enable efficient multi-pass, multi-measure sort/scan execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h72cb69df6083e6af
Venue
VLDB
Year
2006
Pagerank
4.9793485e-05
Overall Rank
13,003 | 12.58%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{chen_vldb06,
        title = {{Composite Subset Measures}},
        author = {Chen, Lei and Ramakrishnan, Raghu and Barford, Paul and Chen, Bee-Chung and Yegneswaran, Vinod},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {403--414},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,750 Bellwether Analysis: Predicting Global Aggregates from Local Regions 2006 VLDB 5.2851374e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
202 Aggregate-Query Processing in Data Warehousing Environments 1995 VLDB 0.00025244649
213 Eager Aggregation and Lazy Aggregation 1995 VLDB 0.00024759805
214 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00024656893
957 Materialized View Selection for Multidimensional Datasets 1998 VLDB 0.00012861484
1,714 Spreadsheets in RDBMS for OLAP 2003 SIGMOD 9.80996e-05
1,898 Querying Multiple Features of Groups in Relational Databases 1996 VLDB 9.4085557e-05
5,582 Efficient Computation of Multiple Group By Queries 2005 SIGMOD 6.0768264e-05
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