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Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach

Summary: DL framework for monotone cardinality estimation of similarity selections. Feature extractor maps data and threshold to Hamming space; regression yields monotone, incremental estimates across data types and distance functions; discusses training, updates, fast estimation, and optimizer impact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5845
Venue
SIGMOD
Year
2020
Pagerank
6.4020848e-05
Overall Rank
5,011 | 65.63%
DOI
10.1145/3318464.3380570

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod20,
        title = {{Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach}},
        author = {Wang, Yaoshu and Xiao, Chuan and Qin, Jianbin and Cao, Xin and Sun, Yifang and Wang, Wei and Onizuka, Makoto},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380570},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380570},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
21 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00056760516
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
339 Sequential Sampling Procedures For Query Size Estimation 1992 SIGMOD 0.00020723773
439 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018464913
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
568 SageDB: A Learned Database System 2019 CIDR 0.0001641553
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
802 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013907725
1,256 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011457194
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,499 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010564536
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
1,643 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 0.00010134956
5,137 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.3507372e-05
5,726 Pigeonring: A Principle for Faster Thresholded Similarity Search 2019 VLDB 6.1079184e-05
8,671 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 5.3876663e-05
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