| 4,404 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
6.2052645e-05 |
| 4,431 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.1870601e-05 |
| 4,448 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
6.1741316e-05 |
| 4,464 |
LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans |
2023 |
VLDB |
6.1552798e-05 |
| 4,572 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
6.068399e-05 |
| 4,592 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.056004e-05 |
| 4,687 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.9915268e-05 |
| 4,830 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
5.8884997e-05 |
| 4,836 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
5.8849277e-05 |
| 4,909 |
A Method for Optimizing Opaque Filter Queries |
2020 |
SIGMOD |
5.8354189e-05 |
| 4,993 |
Stacked Filters: Learning to Filter by Structure |
2021 |
VLDB |
5.7749409e-05 |
| 5,072 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
5.7121108e-05 |
| 5,154 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
5.6548237e-05 |
| 5,250 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
5.6007779e-05 |
| 5,310 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
5.5713508e-05 |
| 5,316 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
5.5688295e-05 |
| 5,323 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
5.5671086e-05 |
| 5,327 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
5.5660777e-05 |
| 5,463 |
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data |
2023 |
SIGMOD |
5.4920768e-05 |
| 5,528 |
Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts |
2022 |
SIGMOD |
5.4571136e-05 |
| 5,579 |
Spitz: A Verifiable Database System |
2020 |
VLDB |
5.4224124e-05 |
| 5,601 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
5.4158958e-05 |
| 5,630 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
5.4010111e-05 |
| 5,655 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
5.3877506e-05 |
| 5,682 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3752251e-05 |
| 5,749 |
InfiniFilter: Expanding Filters to Infinity and Beyond |
2023 |
SIGMOD |
5.3420354e-05 |
| 5,769 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3326049e-05 |
| 5,799 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.3219666e-05 |
| 5,801 |
Dissecting, Designing, and Optimizing LSM-based Data Stores |
2022 |
SIGMOD |
5.3217858e-05 |
| 5,844 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3060581e-05 |
| 5,868 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2928769e-05 |
| 5,886 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
5.2847297e-05 |
| 5,925 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2669029e-05 |
| 6,241 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.1357476e-05 |
| 6,298 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1182917e-05 |
| 6,365 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.0892829e-05 |
| 6,395 |
Range Search over Encrypted Multi-Attribute Data |
2023 |
VLDB |
5.0766624e-05 |
| 6,440 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0546781e-05 |
| 6,441 |
An Eight-Dimensional Systematic Evaluation of Optimized Search Algorithms on Modern Processors |
2018 |
VLDB |
5.0546366e-05 |
| 6,442 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
5.0541252e-05 |
| 6,488 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
5.0378878e-05 |
| 6,723 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
4.9449538e-05 |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 6,774 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
4.9253635e-05 |
| 6,806 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
4.917024e-05 |
| 6,860 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.9008421e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 6,962 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
4.8771234e-05 |
| 7,389 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
4.7386163e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |