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Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation

Summary: Self-tuning, GPU-accelerated KDE for multidimensional selectivity estimation; numeric optimization and continuous adaptation to data and workload. Experiments show scalable models that adapt to changes and outperform both KDE baselines and state-of-the-art multidimensional histograms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5055
Venue
SIGMOD
Year
2015
Pagerank
9.389622e-05
Overall Rank
2,165 | 84.95%
DOI
10.1145/2723372.2749438

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
1,254 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013027411
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011049779
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
1,737 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010720294
2,157 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 9.416022e-05
2,762 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 8.1585394e-05
2,969 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 7.7974762e-05
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
3,465 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.0695873e-05
3,499 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 7.0376445e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05
3,990 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 6.5581983e-05
4,278 Similarity Query Processing for High-Dimensional Data 2020 VLDB 6.2953764e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.1011198e-05
4,831 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 5.8924198e-05
5,308 Key-Value Storage Engines 2020 SIGMOD 5.576303e-05
5,622 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 5.4060403e-05
5,880 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 5.2898074e-05
6,368 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0937722e-05
6,369 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 5.0936663e-05
6,456 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.0564619e-05
7,155 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 4.8149812e-05
8,103 Grep: A Graph Learning Based Database Partitioning System 2023 SIGMOD 4.5852201e-05
8,384 Consistent and Flexible Selectivity Estimation for High-Dimensional Data 2021 SIGMOD 4.5304673e-05
9,380 Small Selectivities Matter: Lifting the Burden of Empty Samples 2021 SIGMOD 4.3461329e-05
9,662 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 4.3097631e-05
9,691 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 4.3035354e-05
9,878 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 4.2656547e-05
11,084 Presto’s History-based Query Optimizer 2024 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 On Random Sampling over Joins 1999 SIGMOD 0.00092385438
92 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00051315959
99 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00050022914
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041786333
222 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00032828302
325 The History of Histograms (abridged) 2003 VLDB 0.00027378328
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021380733
629 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018942366
996 Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes 2000 SIGMOD 0.00014741524
1,070 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00014316791
1,241 Multi-dimensional Selectivity Estimation Using Compressed Histogram Information 1999 SIGMOD 0.00013097578
1,287 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00012820443
2,629 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.4160309e-05
3,013 Cardinality Estimation Using Sample Views with Quality Assurance 2007 SIGMOD 7.7137441e-05
3,691 Kernel-Based Skyline Cardinality Estimation 2009 SIGMOD 6.8383587e-05
5,082 A Comparison of Selectivity Estimators for Range Queries on Metric Attributes 1999 SIGMOD 5.711623e-05
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Overall Rank Paper Year Venue Pagerank
9,691 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 4.3035354e-05
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
996 Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes 2000 SIGMOD 0.00014741524
3,651 Conditional Selectivity for Statistics on Query Expressions 2004 SIGMOD 6.8768678e-05
897 Selectivity Estimation and Query Optimization in Large Databases with Highly Skewed Distributions of Column Values 1988 VLDB 0.00015528028
8,384 Consistent and Flexible Selectivity Estimation for High-Dimensional Data 2021 SIGMOD 4.5304673e-05
5,082 A Comparison of Selectivity Estimators for Range Queries on Metric Attributes 1999 SIGMOD 5.711623e-05
1,254 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013027411
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.9554751e-05
2,969 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 7.7974762e-05