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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
h8a8bb8e2ea1971a1
Venue
SIGMOD
Year
2020
Pagerank
6.261175e-05
Overall Rank
5,126 | 65.54%
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
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057568153
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
346 Sequential Sampling Procedures For Query Size Estimation 1992 SIGMOD 0.00020329113
433 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018332741
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
555 SageDB: A Learned Database System 2019 CIDR 0.00016506678
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
795 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013938779
1,257 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011310561
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011226878
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010576304
1,508 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010440205
1,654 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.9739611e-05
5,199 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.2327836e-05
5,444 Pigeonring: A Principle for Faster Thresholded Similarity Search 2019 VLDB 6.1268526e-05
8,833 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 5.267646e-05
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