| 63 |
Improved Histograms for Selectivity Estimation of Range Predicates |
1996 |
SIGMOD |
0.00063595699 |
| 181 |
LEO - DB2's LEarning Optimizer |
2001 |
VLDB |
0.00036970794 |
| 212 |
Join Synopses for Approximate Query Answering |
1999 |
SIGMOD |
0.00033997204 |
| 253 |
Query Caching and Optimization in Distributed Mediator Systems |
1996 |
SIGMOD |
0.00030517335 |
| 325 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00027398081 |
| 328 |
Balancing Histogram Optimality and Practicality for Query Result Size Estimation |
1995 |
SIGMOD |
0.00027301497 |
| 360 |
Histogram-Based Approximation of Set-Valued Query Answers |
1999 |
VLDB |
0.00025768448 |
| 430 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00023406426 |
| 512 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
0.00021385343 |
| 523 |
Recovering Information from Summary Data |
1997 |
VLDB |
0.00021101376 |
| 527 |
Self-tuning Histograms: Building Histograms Without Looking at Data |
1999 |
SIGMOD |
0.00020862475 |
| 680 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018193263 |
| 752 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.00017138049 |
| 1,239 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013091459 |
| 1,240 |
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information |
1999 |
SIGMOD |
0.00013090678 |
| 1,468 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011831457 |
| 1,691 |
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-Size Estimation |
1999 |
VLDB |
0.00010890775 |
| 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 |
| 1,856 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010319105 |
| 2,056 |
Selectivity Estimation in Spatial Databases |
1999 |
SIGMOD |
9.6692561e-05 |
| 2,136 |
SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads |
2003 |
VLDB |
9.4668797e-05 |
| 2,671 |
A Black-Box Approach to Query Cardinality Estimation |
2007 |
CIDR |
8.3385014e-05 |
| 2,844 |
Selectivity Estimation in Extensible Databases - A Neural Network Approach |
1998 |
VLDB |
8.0308994e-05 |
| 3,331 |
Adapting to Source Properties in Processing Data Integration Queries |
2004 |
SIGMOD |
7.2094696e-05 |
| 3,658 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
6.8700949e-05 |
| 3,943 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.6067351e-05 |
| 4,434 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.1851729e-05 |
| 4,517 |
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters |
2003 |
SIGMOD |
6.1143396e-05 |
| 5,066 |
A Comparison of Selectivity Estimators for Range Queries on Metric Attributes |
1999 |
SIGMOD |
5.7157182e-05 |
| 5,676 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
5.3768269e-05 |
| 6,341 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
5.0980049e-05 |
| 7,011 |
Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis |
2023 |
VLDB |
4.8583284e-05 |
| 7,725 |
Consistent Histograms In The Presence of Distinct Value Counts |
2009 |
VLDB |
4.6621296e-05 |
| 7,776 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
4.6493147e-05 |
| 7,863 |
Adaptive Optimizations of Recursive Queries in Teradata |
2012 |
SIGMOD |
4.628688e-05 |
| 8,471 |
Adaptive Index Structures |
2002 |
VLDB |
4.4986491e-05 |
| 9,191 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3738237e-05 |
| 9,811 |
A Practical Theory of Generalization in Selectivity Learning |
2025 |
VLDB |
4.2742278e-05 |
| 10,627 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
4.1905499e-05 |