| 101 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049778866 |
| 112 |
Potter's Wheel: An Interactive Data Cleaning System |
2001 |
VLDB |
0.00047010908 |
| 125 |
Approximate String Joins in a Database (Almost) for Free |
2001 |
VLDB |
0.00044946098 |
| 155 |
Robust and Efficient Fuzzy Match for Online Data Cleaning |
2003 |
SIGMOD |
0.00040666376 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 416 |
Approximate Query Processing Using Wavelets |
2000 |
VLDB |
0.00023773968 |
| 752 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.00017138049 |
| 802 |
Evaluating Top-k Selection Queries |
1999 |
VLDB |
0.00016440813 |
| 905 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423174 |
| 1,012 |
NADEEF: A Commodity Data Cleaning System |
2013 |
SIGMOD |
0.00014638349 |
| 1,203 |
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams |
2007 |
VLDB |
0.00013317317 |
| 1,207 |
RankSQL: Query Algebra and Optimization for Relational Top-k Queries |
2005 |
SIGMOD |
0.0001327437 |
| 1,365 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012379754 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011050093 |
| 2,014 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.7982231e-05 |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 2,077 |
Extending Autocompletion To Tolerate Errors |
2009 |
SIGMOD |
9.6038296e-05 |
| 2,196 |
Cost-Based Variable-Length-Gram Selection for String Collections to Support Approximate Queries Efficiently |
2008 |
SIGMOD |
9.318552e-05 |
| 2,550 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5569576e-05 |
| 2,830 |
Interaction between Record Matching and Data Repairing |
2011 |
SIGMOD |
8.0515409e-05 |
| 3,614 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9124805e-05 |
| 3,944 |
AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics |
2018 |
SIGMOD |
6.6056349e-05 |
| 4,086 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
6.4579358e-05 |
| 4,352 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2542257e-05 |
| 4,433 |
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets |
2005 |
VLDB |
6.1852739e-05 |
| 4,592 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.056004e-05 |
| 4,908 |
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL |
2024 |
VLDB |
5.835596e-05 |
| 5,071 |
Faerie: Efficient Filtering Algorithms for Approximate Dictionary-based Entity Extraction |
2011 |
SIGMOD |
5.7122974e-05 |
| 5,203 |
Pattern Functional Dependencies for Data Cleaning |
2020 |
VLDB |
5.628087e-05 |
| 5,323 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
5.5671086e-05 |
| 5,405 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
5.5243727e-05 |
| 5,844 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3060581e-05 |
| 7,045 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
4.8474104e-05 |
| 7,188 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
4.8017628e-05 |
| 7,580 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7023767e-05 |
| 7,667 |
Human-in-the-loop Data Integration |
2017 |
VLDB |
4.6791871e-05 |
| 7,707 |
Efficient Top-k Algorithms for Approximate Substring Matching |
2013 |
SIGMOD |
4.6676985e-05 |
| 7,894 |
LITS: An Optimized Learned Index for Strings |
2024 |
VLDB |
4.6196003e-05 |
| 8,434 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
4.5077955e-05 |
| 8,952 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
4.4195459e-05 |
| 9,305 |
Repairing Data through Regular Expressions |
2016 |
VLDB |
4.3545508e-05 |
| 9,725 |
Cardinality Estimation of LIKE Predicate Queries using Deep Learning |
2025 |
SIGMOD |
4.290223e-05 |
| 9,943 |
Stop Word and Related Problems in Web Interface Integration |
2009 |
VLDB |
4.241573e-05 |