| 224 |
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies |
2004 |
SIGMOD |
0.00032746205 |
| 325 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00027378328 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 477 |
Model-Driven Data Acquisition in Sensor Networks |
2004 |
VLDB |
0.00022221803 |
| 492 |
Query by Output |
2009 |
SIGMOD |
0.00021974699 |
| 608 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019235898 |
| 684 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018179769 |
| 711 |
A Case for A Collaborative Query Management System |
2009 |
CIDR |
0.00017751589 |
| 758 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.0001706608 |
| 910 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423056 |
| 916 |
On Schema Matching with Opaque Column Names and Data Values |
2003 |
SIGMOD |
0.00015379422 |
| 1,083 |
A Formal Analysis of Information Disclosure in Data Exchange |
2004 |
SIGMOD |
0.00014210752 |
| 1,254 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013027411 |
| 1,547 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011442359 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011049779 |
| 1,686 |
Fast Computation of Database Operations using Graphics Processors |
2004 |
SIGMOD |
0.00010917794 |
| 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 |
| 1,758 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010655546 |
| 1,970 |
Approximate Lineage for Probabilistic Databases |
2008 |
VLDB |
9.896375e-05 |
| 2,118 |
Using Probabilistic Models for Data Management in Acquisitional Environments |
2005 |
CIDR |
9.5100739e-05 |
| 2,137 |
SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads |
2003 |
VLDB |
9.4719326e-05 |
| 2,291 |
Data Generation using Declarative Constraints |
2011 |
SIGMOD |
9.0926719e-05 |
| 2,356 |
Consistently Estimating the Selectivity of Conjuncts of Predicates |
2005 |
VLDB |
8.9620762e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.9554751e-05 |
| 2,549 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.5641554e-05 |
| 2,762 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
8.1585394e-05 |
| 2,783 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
8.1293383e-05 |
| 2,969 |
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models |
2017 |
VLDB |
7.7974762e-05 |
| 3,408 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.1288167e-05 |
| 3,449 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
7.0824319e-05 |
| 3,511 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.0254052e-05 |
| 3,593 |
Graph-Based Synopses for Relational Selectivity Estimation |
2006 |
SIGMOD |
6.9385476e-05 |
| 3,651 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
6.8768678e-05 |
| 3,924 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
6.6271553e-05 |
| 3,954 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
6.5926838e-05 |
| 3,990 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5581983e-05 |
| 4,359 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2569955e-05 |
| 4,375 |
Sample Debiasing in the Themis Open World Database System |
2020 |
SIGMOD |
6.2427076e-05 |
| 4,417 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
6.2037371e-05 |
| 4,434 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.1929999e-05 |
| 4,883 |
Content-Based Routing: Different Plans for Different Data |
2005 |
VLDB |
5.8545658e-05 |
| 5,401 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
5.5285035e-05 |
| 5,645 |
Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts |
2022 |
SIGMOD |
5.3923454e-05 |
| 5,942 |
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models |
2022 |
SIGMOD |
5.2634242e-05 |
| 5,977 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.2455909e-05 |
| 6,368 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0937722e-05 |
| 6,714 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
4.9512171e-05 |
| 6,838 |
Capturing Data Uncertainty in High-Volume Stream Processing |
2009 |
CIDR |
4.9109732e-05 |
| 7,854 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
4.6350172e-05 |