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Skyline Query Processing over Joins

Summary: Introduces SFSJ, a join-aware skyline algorithm that fuses skyline discovery with join to enable early termination. Uses standard access methods, supports pipelined execution, and yields a proven optimal input-access strategy with empirical gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4372
Venue
SIGMOD
Year
2011
Pagerank
4.8925595e-05
Overall Rank
6,921 | 51.86%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,070 SkySuite: A Framework of Skyline-Join Operators for Static and Stream Environments 2013 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
1,830 Relaxing Join and Selection Queries 2006 VLDB 0.000103862
2,961 Evaluating Rank Joins with Optimal Cost 2008 PODS 7.8110394e-05
4,559 Creating Competitive Products 2009 VLDB 6.0857166e-05
4,910 ProgXe: Progressive Result Generation Framework for Multi-Criteria Decision Support Queries 2010 SIGMOD 5.8338026e-05
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