| 43 |
Models and Issues in Data Stream Systems |
2002 |
PODS |
0.00072723062 |
| 308 |
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports |
2001 |
VLDB |
0.00028142852 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 629 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00018942366 |
| 727 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00017508726 |
| 921 |
Democratizing Data Science through Interactive Curation of ML Pipelines |
2019 |
SIGMOD |
0.00015337438 |
| 1,574 |
Approximate Query Processing: No Silver Bullet |
2017 |
SIGMOD |
0.00011287495 |
| 1,683 |
Cardinality Estimation: An Experimental Survey |
2018 |
VLDB |
0.00010922679 |
| 1,758 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010655546 |
| 1,797 |
Effective Use of Block-Level Sampling in Statistics Estimation |
2004 |
SIGMOD |
0.00010523169 |
| 1,967 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
9.9131712e-05 |
| 2,184 |
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data |
2014 |
SIGMOD |
9.3429789e-05 |
| 2,282 |
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling |
2005 |
VLDB |
9.1073603e-05 |
| 2,365 |
The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing |
2014 |
SIGMOD |
8.9551432e-05 |
| 2,580 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
8.5058814e-05 |
| 2,779 |
Hashed Samples: Selectivity Estimators For Set Similarity Selection Queries |
2008 |
VLDB |
8.1320575e-05 |
| 2,797 |
Query-Oriented Data Cleaning with Oracles |
2015 |
SIGMOD |
8.1108589e-05 |
| 2,837 |
Correlation Maps: A Compressed Access Method for Exploiting Soft Functional Dependencies |
2009 |
VLDB |
8.0414149e-05 |
| 2,878 |
Sampling Time-Based Sliding Windows in Bounded Space |
2008 |
SIGMOD |
7.9706235e-05 |
| 3,013 |
Cardinality Estimation Using Sample Views with Quality Assurance |
2007 |
SIGMOD |
7.7137441e-05 |
| 3,050 |
Comparing Data Streams Using Hamming Norms (How to Zero In) |
2002 |
VLDB |
7.6512619e-05 |
| 3,102 |
Processing Set Expressions over Continuous Update Streams |
2003 |
SIGMOD |
7.5586568e-05 |
| 3,167 |
Relational Confidence Bounds Are Easy With The Bootstrap* |
2005 |
SIGMOD |
7.4523397e-05 |
| 3,310 |
Optimal and Approximate Computation of Summary Statistics for Range Aggregates |
2001 |
PODS |
7.2408955e-05 |
| 3,558 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
6.9765724e-05 |
| 3,702 |
Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates |
2019 |
CIDR |
6.8295759e-05 |
| 3,824 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
6.7260705e-05 |
| 3,867 |
CORADD: Correlation Aware Database Designer for Materialized Views and Indexes |
2010 |
VLDB |
6.683173e-05 |
| 4,623 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.0411909e-05 |
| 4,833 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
5.8916346e-05 |
| 5,014 |
Dynamically Optimizing Queries over Large Scale Data Platforms |
2014 |
SIGMOD |
5.7586174e-05 |
| 5,340 |
Efficiently Approximating Query Optimizer Plan Diagrams |
2008 |
VLDB |
5.5623066e-05 |
| 5,868 |
ABS: a System for Scalable Approximate Queries with Accuracy Guarantees |
2014 |
SIGMOD |
5.2959352e-05 |
| 5,905 |
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA |
2014 |
SIGMOD |
5.2788785e-05 |
| 6,157 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1801143e-05 |
| 6,191 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.1642282e-05 |
| 6,278 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
5.1309442e-05 |
| 6,368 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0937722e-05 |
| 6,374 |
Optimization of Conjunctive Predicates for Main Memory Column Stores |
2016 |
VLDB |
5.0927058e-05 |
| 6,763 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
4.9338479e-05 |
| 6,941 |
Estimating the Impact of Unknown Unknowns on Aggregate Query Results |
2016 |
SIGMOD |
4.8924e-05 |
| 7,415 |
Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g |
2008 |
SIGMOD |
4.7355557e-05 |
| 7,610 |
Learning to be a Statistician: Learned Estimator for Number of Distinct Values |
2022 |
VLDB |
4.6965039e-05 |
| 7,667 |
Fast Detection of Denial Constraint Violations |
2022 |
VLDB |
4.683767e-05 |
| 8,158 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
4.5730772e-05 |
| 8,350 |
alpha to omega: The Greek Alphabet of Sampling |
2020 |
CIDR |
4.5404832e-05 |
| 8,834 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
4.4394021e-05 |
| 8,835 |
Learning-based Property Estimation with Polynomials |
2024 |
SIGMOD |
4.4394021e-05 |
| 8,893 |
Histograms Reloaded: The Merits of Bucket Diversity |
2010 |
SIGMOD |
4.4275272e-05 |
| 9,227 |
Panakos: Chasing the Tails for Multidimensional Data Streams |
2023 |
VLDB |
4.3692732e-05 |