| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 323 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00027496167 |
| 503 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00021517145 |
| 627 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00018959896 |
| 680 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018193263 |
| 686 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.00018107664 |
| 737 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00017377393 |
| 804 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001643674 |
| 1,039 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
0.00014488271 |
| 1,468 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011831457 |
| 1,536 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00011458359 |
| 1,756 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010659753 |
| 1,805 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010479371 |
| 2,014 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.7982231e-05 |
| 2,167 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
9.3879598e-05 |
| 2,280 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.1247368e-05 |
| 2,364 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
8.955077e-05 |
| 2,442 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
8.8067249e-05 |
| 2,551 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.5553153e-05 |
| 3,402 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.134261e-05 |
| 3,455 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
7.0760196e-05 |
| 3,610 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
6.919859e-05 |
| 3,827 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
6.7195959e-05 |
| 3,943 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.6067351e-05 |
| 3,992 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
6.5519369e-05 |
| 4,352 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2542257e-05 |
| 4,815 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
5.8978716e-05 |
| 5,642 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
5.3964761e-05 |
| 5,907 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.2741214e-05 |
| 5,983 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
5.240797e-05 |
| 6,365 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0892829e-05 |
| 6,634 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
4.9784928e-05 |
| 6,700 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9534371e-05 |
| 7,188 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
4.8017628e-05 |
| 8,092 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
4.5847443e-05 |
| 8,175 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
4.5638044e-05 |
| 8,383 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
4.5261239e-05 |
| 8,433 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
4.5078508e-05 |
| 8,521 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
4.4893996e-05 |
| 9,059 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
4.3997447e-05 |
| 9,244 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
4.3648789e-05 |
| 9,387 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
4.341968e-05 |
| 9,868 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
4.2634472e-05 |
| 10,598 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
4.1905499e-05 |
| 10,647 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1905499e-05 |
| 10,837 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
4.1905499e-05 |
| 11,087 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
4.1905499e-05 |
| 11,829 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
4.1905499e-05 |
| 12,068 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
4.1905499e-05 |
| 12,316 |
Filtered Statistics |
2009 |
SIGMOD |
4.1905499e-05 |