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Multi-objective Query Processing for Database Systems

Summary: Unified multi-objective query processing over monotonic objectives; computes non-dominated sets that generalize top-k and skyline. Proves correctness and instance-optimality with progressive results to reduce latency during execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9199
Venue
VLDB
Year
2004
Pagerank
8.9919258e-05
Overall Rank
2,346 | 83.69%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,473 Maximal Vector Computation in Large Data Sets 2005 VLDB 0.00011828508
1,575 Efficient Computation of the Skyline Cube 2005 VLDB 0.00011286884
3,452 Refreshing the Sky: The Compressed Skycube with Efficient Support for Frequent Updates 2006 SIGMOD 7.0821774e-05
7,435 On Efficient Top-k Query Processing in Highly Distributed Environments 2008 SIGMOD 4.731326e-05
8,973 PackageBuilder: From Tuples to Packages 2014 VLDB 4.4187185e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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