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Selectivity Estimation for Range Predicates using Lightweight Models

Summary: Framing selectivity for multi-dimensional range predicates as regression and evaluating lightweight neural nets and tree ensembles; naive use underperforms simple baselines. It introduces regression-label transformation and feature engineering, delivering fast, accurate estimates across diverse datasets for optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11806
Venue
VLDB
Year
2019
Pagerank
0.00013091459
Overall Rank
1,239 | 91.40%
DOI
10.14778/3329772.3329780

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 50 of 80 citing papers.

Rank Citing Paper Year Venue Pagerank
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
752 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00017138049
819 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016237497
905 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423174
1,608 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011169837
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011050093
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
1,727 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010731889
2,090 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 9.5668285e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.955077e-05
2,769 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 8.1512848e-05
2,781 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1282042e-05
3,269 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3026051e-05
3,345 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1908499e-05
3,455 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0760196e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,492 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 7.0435484e-05
3,623 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9017341e-05
3,777 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 6.7713324e-05
3,781 A Learned Sketch for Subgraph Counting 2021 SIGMOD 6.7691344e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6227223e-05
3,955 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5895015e-05
3,992 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 6.5519369e-05
4,352 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 6.2542257e-05
4,377 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2331947e-05
4,413 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 6.1989918e-05
4,431 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.1870601e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.0953507e-05
4,587 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.0594195e-05
5,049 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 5.7275467e-05
5,339 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 5.5596755e-05
5,405 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 5.5243727e-05
5,528 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.4571136e-05
5,630 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 5.4010111e-05
5,639 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 5.3972261e-05
5,787 Machine Learning for Databases 2021 VLDB 5.3256401e-05
5,886 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 5.2847297e-05
5,994 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2367998e-05
6,365 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0892829e-05
6,382 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 5.0835686e-05
6,639 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 4.976781e-05
6,789 Index-Accelerated Pattern Matching in Event Stores 2021 SIGMOD 4.9206048e-05
7,011 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 4.8583284e-05
7,118 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 4.8204951e-05
7,122 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 4.8199209e-05
7,220 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 4.7926382e-05
7,291 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7677422e-05
7,442 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 4.7248554e-05
7,461 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 4.7193668e-05
7,611 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 4.6920008e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041819767
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
223 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00032829841
224 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00032743209
250 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00030640525
373 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354685
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021385343
527 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00020862475
627 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018959896
1,978 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 9.8764627e-05
2,167 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 9.3879598e-05
2,840 Applying the Golden Rule of Sampling for Query Estimation 2001 SIGMOD 8.0417349e-05
2,844 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.0308994e-05
3,402 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.134261e-05
4,815 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 5.8978716e-05
5,676 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 5.3768269e-05
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