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Deep Query Optimization

Summary: Introduces deep learning models for cost estimation and index selection in distributed query optimization. Early selectivity estimation results reach 97% accuracy, showing DL can learn complex cost functions for planning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5635
Venue
SIGMOD
Year
2019
Pagerank
4.392741e-05
Overall Rank
9,120 | 36.56%
DOI
10.1145/3299869.3300104

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,254 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3161051e-05
8,346 Deep Learning: Systems and Responsibility 2021 SIGMOD 4.5420668e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
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3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05
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