| 2,579 |
Data Warehousing and OLAP for Decision Support |
1997 |
SIGMOD |
8.5071315e-05 |
| 2,580 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
8.5058814e-05 |
| 2,587 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4924618e-05 |
| 2,599 |
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * |
2005 |
CIDR |
8.4702307e-05 |
| 2,787 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.1263608e-05 |
| 2,808 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
8.0870741e-05 |
| 2,860 |
Optimization of Queries with User-defined Predicates |
1996 |
VLDB |
7.9934503e-05 |
| 2,985 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
7.7795847e-05 |
| 3,072 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.6114086e-05 |
| 3,141 |
ClusterJoin: A Similarity Joins Framework using Map-Reduce |
2014 |
VLDB |
7.4829448e-05 |
| 3,408 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.1288167e-05 |
| 3,413 |
On the Complexity of Equivalence between Recursive and Nonrecursive Datalog Programs |
1994 |
PODS |
7.1240395e-05 |
| 3,436 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
7.0948913e-05 |
| 3,451 |
Learning String Transformations From Examples |
2009 |
VLDB |
7.0822216e-05 |
| 3,478 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
7.054159e-05 |
| 3,651 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
6.8768678e-05 |
| 3,653 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
6.8743355e-05 |
| 3,735 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8061318e-05 |
| 3,868 |
An Efficient Filter for Approximate Membership Checking |
2008 |
SIGMOD |
6.6822543e-05 |
| 3,922 |
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters |
2020 |
VLDB |
6.6291079e-05 |
| 3,952 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.5939652e-05 |
| 3,954 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
6.5926838e-05 |
| 4,287 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
6.2891702e-05 |
| 4,314 |
Avoiding Retrieval Contention for Composite Multimedia Objects |
1995 |
VLDB |
6.2885419e-05 |
| 4,482 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
6.1482936e-05 |
| 4,838 |
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers |
2014 |
VLDB |
5.8887949e-05 |
| 4,951 |
Mining Document Collections to Facilitate Accurate Approximate Entity Matching |
2009 |
VLDB |
5.8100413e-05 |
| 5,059 |
High-Performance Row Pattern Recognition Using Joins |
2023 |
VLDB |
5.7277656e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.7011825e-05 |
| 5,194 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
5.6368209e-05 |
| 5,275 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5905507e-05 |
| 5,361 |
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches |
2018 |
VLDB |
5.547935e-05 |
| 5,379 |
Scalable Ad-hoc Entity Extraction from Text Collections |
2008 |
VLDB |
5.5405989e-05 |
| 5,383 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
5.5393038e-05 |
| 5,434 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5045402e-05 |
| 5,435 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
5.5043441e-05 |
| 5,470 |
Cloud Databases: What’s New? |
2010 |
VLDB |
5.4894049e-05 |
| 5,486 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
5.4811603e-05 |
| 5,633 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
5.4011156e-05 |
| 5,668 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
5.3806337e-05 |
| 5,686 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3712312e-05 |
| 6,062 |
Flexible Resource Allocation for Relational Database-as-a-Service |
2023 |
VLDB |
5.2302798e-05 |
| 6,072 |
Factorizing Complex Predicates in Queries to Exploit Indexes |
2003 |
SIGMOD |
5.2257599e-05 |
| 6,345 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
5.1023048e-05 |
| 6,366 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0943443e-05 |
| 6,368 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0937722e-05 |
| 6,433 |
Self-Managing Technology in Database Management Systems |
2004 |
VLDB |
5.0642403e-05 |
| 6,479 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
5.0483805e-05 |
| 6,484 |
A Statistical Approach Towards Robust Progress Estimation |
2012 |
VLDB |
5.0453762e-05 |
| 6,520 |
Foundations of Automated Database Tuning |
2006 |
VLDB |
5.0307595e-05 |