| 63 |
Improved Histograms for Selectivity Estimation of Range Predicates |
1996 |
SIGMOD |
0.00063595699 |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 92 |
Practical Selectivity Estimation through Adaptive Sampling |
1990 |
SIGMOD |
0.00051431888 |
| 101 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049778866 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 223 |
Wavelet-Based Histograms for Selectivity Estimation |
1998 |
SIGMOD |
0.00032829841 |
| 260 |
Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling |
2013 |
SIGMOD |
0.00030020929 |
| 325 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00027398081 |
| 326 |
Optimal Histograms with Quality Guarantees |
1998 |
VLDB |
0.0002737538 |
| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 373 |
Selectivity Estimation using Probabilistic Models |
2001 |
SIGMOD |
0.00025354685 |
| 512 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
0.00021385343 |
| 606 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019251186 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 752 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.00017138049 |
| 796 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016541749 |
| 804 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001643674 |
| 849 |
Dynamic Multidimensional Histograms |
2002 |
SIGMOD |
0.00015919478 |
| 1,104 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.0001398479 |
| 1,145 |
Estimating Alphanumeric Selectivity in the Presence of Wildcards |
1996 |
SIGMOD |
0.00013672625 |
| 1,203 |
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams |
2007 |
VLDB |
0.00013317317 |
| 1,239 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013091459 |
| 1,379 |
Substring Selectivity Estimation |
1999 |
PODS |
0.00012280308 |
| 1,536 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011458359 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 1,978 |
Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses |
2018 |
VLDB |
9.8764627e-05 |
| 2,168 |
Selectivity Estimation For Boolean Queries |
2000 |
PODS |
9.3877451e-05 |
| 2,196 |
Cost-Based Variable-Length-Gram Selection for String Collections to Support Approximate Queries Efficiently |
2008 |
SIGMOD |
9.318552e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.955077e-05 |
| 2,844 |
Selectivity Estimation in Extensible Databases - A Neural Network Approach |
1998 |
VLDB |
8.0308994e-05 |
| 2,971 |
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models |
2017 |
VLDB |
7.7935535e-05 |
| 3,229 |
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance |
2007 |
VLDB |
7.3390133e-05 |
| 3,656 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
6.8712579e-05 |