| 64 |
Improved Histograms for Selectivity Estimation of Range Predicates |
1996 |
SIGMOD |
0.00063612837 |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 92 |
Practical Selectivity Estimation through Adaptive Sampling |
1990 |
SIGMOD |
0.00051315959 |
| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 204 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034784455 |
| 222 |
Wavelet-Based Histograms for Selectivity Estimation |
1998 |
SIGMOD |
0.00032828302 |
| 260 |
Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling |
2013 |
SIGMOD |
0.00030040036 |
| 325 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00027378328 |
| 326 |
Optimal Histograms with Quality Guarantees |
1998 |
VLDB |
0.00027358981 |
| 333 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027206884 |
| 372 |
Selectivity Estimation using Probabilistic Models |
2001 |
SIGMOD |
0.00025354779 |
| 512 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
0.00021380733 |
| 608 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019235898 |
| 754 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017117211 |
| 758 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.0001706608 |
| 801 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016505496 |
| 806 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.00016434274 |
| 852 |
Dynamic Multidimensional Histograms |
2002 |
SIGMOD |
0.00015941524 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,146 |
Estimating Alphanumeric Selectivity in the Presence of Wildcards |
1996 |
SIGMOD |
0.00013679782 |
| 1,202 |
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams |
2007 |
VLDB |
0.00013326298 |
| 1,254 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013027411 |
| 1,379 |
Substring Selectivity Estimation |
1999 |
PODS |
0.00012286879 |
| 1,547 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011442359 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010109102 |
| 1,981 |
Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses |
2018 |
VLDB |
9.8687545e-05 |
| 2,171 |
Selectivity Estimation For Boolean Queries |
2000 |
PODS |
9.3807165e-05 |
| 2,193 |
Cost-Based Variable-Length-Gram Selection for String Collections to Support Approximate Queries Efficiently |
2008 |
SIGMOD |
9.3178557e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.9554751e-05 |
| 2,841 |
Selectivity Estimation in Extensible Databases - A Neural Network Approach |
1998 |
VLDB |
8.0287389e-05 |
| 2,969 |
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models |
2017 |
VLDB |
7.7974762e-05 |
| 3,226 |
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance |
2007 |
VLDB |
7.3433307e-05 |
| 3,651 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
6.8768678e-05 |