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Selectivity Estimation Without the Attribute Value Independence Assumption

Summary: Selectivity estimation without attribute independence: joint frequencies drive results; per-attribute histograms are inaccurate. Proposes two options: (a) multi-d histogram, (b) SVD-based joint modeling; experiments compare accuracy vs independence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h8b13ee03e0598ebb
Venue
VLDB
Year
1997
Pagerank
0.00033847446
Overall Rank
103 | 99.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{poosala_vldb97,
        title = {{Selectivity Estimation Without the Attribute Value Independence Assumption}},
        author = {Poosala, Viswanath and Ioannidis, Yannis E.},
        journal = {PVLDB},
        series = {{VLDB} '97},
        volume = {23},
        pages = {486--495},
        year = {1997}
}

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15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061463175
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035920657
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034050614
222 Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets 1999 SIGMOD 0.00024136952
254 The History of Histograms (abridged) 2003 VLDB 0.00022999992
259 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022881075
277 Optimal Histograms with Quality Guarantees 1998 VLDB 0.0002235043
287 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00022060616
311 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021315058
372 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019768921
374 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.00019698889
405 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019020138
450 Histogram-Based Approximation of Set-Valued Query Answers 1999 VLDB 0.0001806593
457 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017915659
508 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017108973
568 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016221103
646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015166402
647 Evaluating Top-k Selection Queries 1999 VLDB 0.00015165562
690 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014703258
701 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.0001464136
745 Dynamic Multidimensional Histograms 2002 SIGMOD 0.00014267268
958 Flexible Database Generators 2005 VLDB 0.00012834376
983 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012677179
1,006 Dynamic Maintenance of Wavelet-Based Histograms 2000 VLDB 0.00012551491
1,061 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00012207625
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012181459
1,080 Multi-dimensional Selectivity Estimation Using Compressed Histogram Information 1999 SIGMOD 0.00012114187
1,261 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011289724
1,511 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010408003
1,569 Reducing the Braking Distance of an SQL Query Engine 1998 VLDB 0.00010177494
1,583 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010148362
1,614 SciBORQ: Scientific data management with Bounds On Runtime and Quality 2011 CIDR 0.00010054823
1,670 BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data 2003 VLDB 9.9124313e-05
1,693 Global Optimization of Histograms 2001 SIGMOD 9.8377504e-05
1,740 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7289523e-05
1,896 CS2: A New Database Synopsis for Query Estimation 2013 SIGMOD 9.4010932e-05
1,969 StatiX: Making XML Count 2002 SIGMOD 9.2805411e-05
2,009 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.1813272e-05
2,154 SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads 2003 VLDB 8.9382906e-05
2,176 Selectivity Estimation in Spatial Databases 1999 SIGMOD 8.9031141e-05
2,211 Integrating the UB-Tree into a Database System Kernel 2000 VLDB 8.8443254e-05
2,378 Statistical Synopses for Graph-Structured XML Databases 2002 SIGMOD 8.5315761e-05
2,852 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.9201312e-05
2,987 Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs 2022 VLDB 7.767043e-05
3,106 Compressing Historical Information in Sensor Networks 2004 SIGMOD 7.6276487e-05
3,195 Structure and Value Synopses for XML Data Graphs 2002 VLDB 7.530952e-05
3,291 Kernel-Based Skyline Cardinality Estimation 2009 SIGMOD 7.4370263e-05
3,371 Conditional Selectivity for Statistics on Query Expressions 2004 SIGMOD 7.3493132e-05
4,315 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6545412e-05
4,479 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.5665703e-05
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Outgoing Citations (Sorted by Pagerank)

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