| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 112 |
Potter's Wheel: An Interactive Data Cleaning System |
2001 |
VLDB |
0.00047045036 |
| 125 |
Approximate String Joins in a Database (Almost) for Free |
2001 |
VLDB |
0.00044847972 |
| 155 |
Robust and Efficient Fuzzy Match for Online Data Cleaning |
2003 |
SIGMOD |
0.00040637896 |
| 204 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034784455 |
| 405 |
Approximate Query Processing Using Wavelets |
2000 |
VLDB |
0.00024057494 |
| 758 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.0001706608 |
| 805 |
Evaluating Top-k Selection Queries |
1999 |
VLDB |
0.00016437265 |
| 910 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00015423056 |
| 1,012 |
NADEEF: A Commodity Data Cleaning System |
2013 |
SIGMOD |
0.0001464733 |
| 1,202 |
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams |
2007 |
VLDB |
0.00013326298 |
| 1,262 |
RankSQL: Query Algebra and Optimization for Relational Top-k Queries |
2005 |
SIGMOD |
0.00012986539 |
| 1,375 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012303141 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011049779 |
| 2,009 |
IO-Top-k: Index-access Optimized Top-k Query Processing |
2006 |
VLDB |
9.7977564e-05 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,073 |
Extending Autocompletion To Tolerate Errors |
2009 |
SIGMOD |
9.6142791e-05 |
| 2,193 |
Cost-Based Variable-Length-Gram Selection for String Collections to Support Approximate Queries Efficiently |
2008 |
SIGMOD |
9.3178557e-05 |
| 2,552 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5530411e-05 |
| 2,823 |
Interaction between Record Matching and Data Repairing |
2011 |
SIGMOD |
8.0593894e-05 |
| 3,611 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9191399e-05 |
| 3,944 |
AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics |
2018 |
SIGMOD |
6.6078243e-05 |
| 4,097 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
6.4551616e-05 |
| 4,359 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
6.2569955e-05 |
| 4,438 |
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets |
2005 |
VLDB |
6.1898903e-05 |
| 4,593 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.0606891e-05 |
| 4,908 |
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL |
2024 |
VLDB |
5.8339245e-05 |
| 5,073 |
Faerie: Efficient Filtering Algorithms for Approximate Dictionary-based Entity Extraction |
2011 |
SIGMOD |
5.7177424e-05 |
| 5,192 |
Pattern Functional Dependencies for Data Cleaning |
2020 |
VLDB |
5.6375087e-05 |
| 5,314 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
5.5724608e-05 |
| 5,401 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
5.5285035e-05 |
| 5,832 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3111109e-05 |
| 7,048 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
4.8520651e-05 |
| 7,186 |
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries |
2024 |
SIGMOD |
4.8063731e-05 |
| 7,575 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7068909e-05 |
| 7,668 |
Human-in-the-loop Data Integration |
2017 |
VLDB |
4.6834075e-05 |
| 7,708 |
Efficient Top-k Algorithms for Approximate Substring Matching |
2013 |
SIGMOD |
4.6721808e-05 |
| 7,894 |
LITS: An Optimized Learned Index for Strings |
2024 |
VLDB |
4.6240341e-05 |
| 8,442 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
4.5120602e-05 |
| 8,948 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
4.423786e-05 |
| 9,301 |
Repairing Data through Regular Expressions |
2016 |
VLDB |
4.3587281e-05 |
| 9,726 |
Cardinality Estimation of LIKE Predicate Queries using Deep Learning |
2025 |
SIGMOD |
4.2943379e-05 |
| 9,943 |
Stop Word and Related Problems in Web Interface Integration |
2009 |
VLDB |
4.2456408e-05 |