| 64 |
Improved Histograms for Selectivity Estimation of Range Predicates |
1996 |
SIGMOD |
0.00063612837 |
| 182 |
LEO - DB2's LEarning Optimizer |
2001 |
VLDB |
0.00036962631 |
| 211 |
Join Synopses for Approximate Query Answering |
1999 |
SIGMOD |
0.00033981214 |
| 253 |
Query Caching and Optimization in Distributed Mediator Systems |
1996 |
SIGMOD |
0.00030569863 |
| 325 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00027378328 |
| 327 |
Balancing Histogram Optimality and Practicality for Query Result Size Estimation |
1995 |
SIGMOD |
0.00027308479 |
| 361 |
Histogram-Based Approximation of Set-Valued Query Answers |
1999 |
VLDB |
0.00025775749 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 512 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
0.00021380733 |
| 523 |
Recovering Information from Summary Data |
1997 |
VLDB |
0.00021089782 |
| 529 |
Self-tuning Histograms: Building Histograms Without Looking at Data |
1999 |
SIGMOD |
0.00020828852 |
| 684 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018179769 |
| 758 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.0001706608 |
| 1,241 |
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information |
1999 |
SIGMOD |
0.00013097578 |
| 1,254 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013027411 |
| 1,471 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011830111 |
| 1,695 |
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-Size Estimation |
1999 |
VLDB |
0.00010882793 |
| 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 |
| 1,855 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010315245 |
| 2,053 |
Selectivity Estimation in Spatial Databases |
1999 |
SIGMOD |
9.6728745e-05 |
| 2,137 |
SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads |
2003 |
VLDB |
9.4719326e-05 |
| 2,669 |
A Black-Box Approach to Query Cardinality Estimation |
2007 |
CIDR |
8.3389856e-05 |
| 2,841 |
Selectivity Estimation in Extensible Databases - A Neural Network Approach |
1998 |
VLDB |
8.0287389e-05 |
| 3,330 |
Adapting to Source Properties in Processing Data Integration Queries |
2004 |
SIGMOD |
7.2150831e-05 |
| 3,658 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
6.8704209e-05 |
| 3,952 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.5939652e-05 |
| 4,436 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.1909336e-05 |
| 4,516 |
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters |
2003 |
SIGMOD |
6.1178799e-05 |
| 5,082 |
A Comparison of Selectivity Estimators for Range Queries on Metric Attributes |
1999 |
SIGMOD |
5.711623e-05 |
| 5,668 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
5.3806337e-05 |
| 6,345 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
5.1023048e-05 |
| 7,011 |
Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis |
2023 |
VLDB |
4.8629458e-05 |
| 7,728 |
Consistent Histograms In The Presence of Distinct Value Counts |
2009 |
VLDB |
4.666214e-05 |
| 7,776 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
4.6537231e-05 |
| 7,863 |
Adaptive Optimizations of Recursive Queries in Teradata |
2012 |
SIGMOD |
4.6328993e-05 |
| 8,474 |
Adaptive Index Structures |
2002 |
VLDB |
4.5029015e-05 |
| 9,187 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3780059e-05 |
| 9,812 |
A Practical Theory of Generalization in Selectivity Learning |
2025 |
VLDB |
4.2783272e-05 |
| 10,619 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
4.1945683e-05 |