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Kernel-Based Skyline Cardinality Estimation

Summary: Kernel-Based (KB) nonparametric skyline cardinality estimator; relaxes LS's independence, capturing inter-dimension correlations. Real-data experiments: KB outperforms Log Sampling in accuracy, maintains similar efficiency, and extends to k-dominant skylines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4143
Venue
SIGMOD
Year
2009
Pagerank
6.8383587e-05
Overall Rank
3,691 | 74.33%
DOI
-

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