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Consistent and Flexible Selectivity Estimation for High-Dimensional Data

Summary: Deep-learning-based selectivity estimation learns a query-dependent piecewise-linear function whose output is guaranteed to be non-decreasing in the threshold. To scale to high-dimensional data, the method partitions the dataset into disjoint subsets and trains local models, achieving superior accuracy and efficiency over state-of-the-art approaches on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6053
Venue
SIGMOD
Year
2021
Pagerank
4.5304673e-05
Overall Rank
8,384 | 41.68%
DOI
10.1145/3448016.3452772

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