| 20 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00058294381 |
| 299 |
Order Preserving Encryption for Numeric Data |
2004 |
SIGMOD |
0.00022045388 |
| 387 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00019538003 |
| 442 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00018404579 |
| 462 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.0001813892 |
| 567 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00016486291 |
| 694 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00015056567 |
| 843 |
Pay-as-you-go User Feedback for Dataspace Systems |
2008 |
SIGMOD |
0.0001371047 |
| 1,081 |
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions |
2011 |
VLDB |
0.00012387181 |
| 1,126 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00012159658 |
| 1,250 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011563119 |
| 1,489 |
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation |
2015 |
SIGMOD |
0.00010670879 |
| 1,492 |
Top-k Query Evaluation with Probabilistic Guarantees |
2004 |
VLDB |
0.00010668148 |
| 1,606 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010308107 |
| 1,951 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.5045729e-05 |
| 2,043 |
Generating Targeted Queries for Database Testing |
2008 |
SIGMOD |
9.3370388e-05 |
| 2,116 |
Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries |
2008 |
VLDB |
9.2038228e-05 |
| 2,244 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.9465445e-05 |
| 2,688 |
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation |
2022 |
VLDB |
8.3172831e-05 |
| 2,886 |
Weighted Hypertree Decompositions and Optimal Query Plans |
2004 |
PODS |
8.0645443e-05 |
| 2,937 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
8.0072565e-05 |
| 2,977 |
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views |
2022 |
SIGMOD |
7.9537139e-05 |
| 3,108 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8122622e-05 |
| 3,175 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.7393361e-05 |
| 3,451 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.4749615e-05 |
| 3,525 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.4076098e-05 |
| 4,372 |
DigitHist: a Histogram-Based Data Summary with Tight Error Bounds |
2017 |
VLDB |
6.8047955e-05 |
| 5,390 |
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates |
2004 |
VLDB |
6.3061557e-05 |
| 5,647 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
6.2011141e-05 |
| 5,717 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
6.1775295e-05 |
| 6,050 |
Understanding Cardinality Estimation using Entropy Maximization |
2010 |
PODS |
6.0551156e-05 |
| 6,290 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
5.9877161e-05 |
| 6,419 |
Approximating and Testing k-Histogram Distributions in Sub-linear Time |
2012 |
PODS |
5.9471897e-05 |
| 6,648 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
5.8722385e-05 |
| 7,930 |
Probabilistic Histograms for Probabilistic Data |
2009 |
VLDB |
5.5814542e-05 |
| 8,031 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
5.5615904e-05 |
| 8,309 |
Histograms as a Side Effect of Data Movement for Big Data |
2014 |
SIGMOD |
5.5100446e-05 |
| 8,385 |
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews |
2021 |
VLDB |
5.4958075e-05 |
| 8,611 |
Computing A Well-Representative Summary of Conjunctive Query Results |
2024 |
PODS |
5.4598872e-05 |
| 9,073 |
Optimality and Scalability in Lattice Histogram Construction |
2009 |
VLDB |
5.3880466e-05 |
| 9,253 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.3572577e-05 |
| 9,319 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
5.3468418e-05 |
| 9,862 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
5.256625e-05 |
| 10,598 |
ACE: A Cardinality Estimator for Set-Valued Queries |
2025 |
VLDB |
5.1725247e-05 |
| 10,647 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
5.1725247e-05 |
| 10,837 |
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects |
2025 |
VLDB |
5.1725247e-05 |
| 11,087 |
Presto’s History-based Query Optimizer |
2024 |
VLDB |
5.1725247e-05 |
| 11,829 |
Are Few Bins Enough: Testing Histogram Distributions |
2016 |
PODS |
5.1725247e-05 |
| 12,068 |
Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects |
2013 |
VLDB |
5.1725247e-05 |
| 12,316 |
Filtered Statistics |
2009 |
SIGMOD |
5.1725247e-05 |