| 9,743 |
Databases in the Era of Memory-Centric Computing
|
2025 |
CIDR |
4.2897489e-05 |
| 9,766 |
DPXPlain: Privately Explaining Aggregate Query Answers
|
2023 |
VLDB |
4.2856106e-05 |
| 9,777 |
Data Augmentation for ML-driven Data Preparation and Integration
|
2021 |
VLDB |
4.2856106e-05 |
| 9,779 |
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks
|
2018 |
SIGMOD |
4.2856106e-05 |
| 9,809 |
Thoth in Action: Memory Management in Modern Data Analytics
|
2017 |
VLDB |
4.278405e-05 |
| 9,947 |
Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances
|
2016 |
VLDB |
4.2431724e-05 |
| 10,001 |
A Unifying Algorithm for Hierarchical Queries
|
2026 |
PODS |
4.1945683e-05 |
| 10,141 |
Honeybee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning
|
2026 |
SIGMOD |
4.1945683e-05 |
| 10,150 |
Curator: Efficient Vector Search with Low-Selectivity Filters
|
2026 |
SIGMOD |
4.1945683e-05 |
| 10,341 |
A Theoretical Framework for Distribution-Aware Dataset Search
|
2025 |
PODS |
4.1945683e-05 |
| 10,344 |
Circuits and Formulas for Datalog over Semirings
|
2025 |
PODS |
4.1945683e-05 |
| 10,392 |
Shapley Value Estimation Based on Differential Matrix
|
2025 |
SIGMOD |
4.1945683e-05 |
| 10,429 |
CauSumX: Summarized Causal Explanations For Group-By-Average Queries
|
2025 |
SIGMOD |
4.1945683e-05 |
| 10,685 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes
|
2025 |
VLDB |
4.1945683e-05 |
| 10,751 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization
|
2025 |
VLDB |
4.1945683e-05 |
| 10,772 |
veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System
|
2025 |
VLDB |
4.1945683e-05 |
| 10,808 |
Hint-QPT: Hints for Robust Query Performance Tuning
|
2025 |
VLDB |
4.1945683e-05 |
| 10,923 |
k-Clustering with Comparison and Distance Oracles
|
2024 |
PODS |
4.1945683e-05 |
| 10,927 |
Computing A Well-Representative Summary of Conjunctive Query Results
|
2024 |
PODS |
4.1945683e-05 |
| 10,998 |
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems
|
2024 |
VLDB |
4.1945683e-05 |
| 11,143 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
|
2024 |
VLDB |
4.1945683e-05 |
| 11,281 |
Explaining Differentially Private Query Results With DPXPlain
|
2023 |
VLDB |
4.1945683e-05 |
| 11,418 |
Rearchitecting In-Memory Object Stores for Low Latency
|
2022 |
VLDB |
4.1945683e-05 |
| 11,436 |
Algorithms for a Topology-aware Massively Parallel Computation Model
|
2021 |
PODS |
4.1945683e-05 |
| 11,471 |
On Optimizing the Trade-off between Privacy and Utility in Data Provenance
|
2021 |
SIGMOD |
4.1945683e-05 |
| 11,484 |
Practical Security and Privacy for Database Systems
|
2021 |
SIGMOD |
4.1945683e-05 |
| 11,616 |
MuSe: Multiple Deletion Semantics for Data Repair
|
2020 |
VLDB |
4.1945683e-05 |
| 11,666 |
RATest: Explaining Wrong Relational Queries Using Small Examples
|
2019 |
SIGMOD |
4.1945683e-05 |
| 11,748 |
Durable Top-k Queries on Temporal Data
|
2018 |
VLDB |
4.1945683e-05 |
| 11,824 |
Range-Max Queries on Uncertain Data
|
2016 |
PODS |
4.1945683e-05 |
| 11,865 |
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories
|
2016 |
VLDB |
4.1945683e-05 |
| 11,879 |
Design of Policy-Aware Differentially Private Algorithms
|
2016 |
VLDB |
4.1945683e-05 |
| 11,948 |
Tutorial: SQL-on-Hadoop Systems
|
2015 |
VLDB |
4.1945683e-05 |
| 11,973 |
iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics"
|
2014 |
SIGMOD |
4.1945683e-05 |
| 12,001 |
Thoth: Towards Managing a Multi-System Cluster
|
2014 |
VLDB |
4.1945683e-05 |
| 12,018 |
Towards Building Wind Tunnels for Data Center Design
|
2014 |
VLDB |
4.1945683e-05 |
| 12,047 |
Execution and Optimization of Continuous Queries with Cyclops
|
2013 |
SIGMOD |
4.1945683e-05 |
| 12,059 |
Workload Management for Big Data Analytics
|
2013 |
SIGMOD |
4.1945683e-05 |
| 12,098 |
Permuting Data on Random-Access Block Storage
|
2013 |
VLDB |
4.1945683e-05 |
| 12,299 |
Exceeding Expectations and Clustering Uncertain Data
|
2009 |
PODS |
4.1945683e-05 |
| 12,311 |
Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary)
|
2009 |
SIGMOD |
4.1945683e-05 |
| 12,420 |
Data-Driven Processing in Sensor Networks
|
2007 |
CIDR |
4.1945683e-05 |
| 12,480 |
Suppression and Failures in Sensor Networks: A Bayesian Approach
|
2007 |
VLDB |
4.1945683e-05 |
| 12,488 |
Asking the Right Questions: Model-driven Optimization using Probes
|
2006 |
PODS |
4.1945683e-05 |
| 12,519 |
Scalable Continuous Query Processing by Tracking Hotspots
|
2006 |
VLDB |
4.1945683e-05 |
| 12,571 |
k-Means Projective Clustering
|
2004 |
PODS |
4.1945683e-05 |
| 13,111 |
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial
|
2025 |
SIGMOD |
- |
| 13,331 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia
|
2017 |
SIGMOD |
- |
| 13,339 |
Cumulon-D: Data Analytics in a Dynamic Spot Market
|
2017 |
VLDB |
- |
| 13,450 |
Big and Useful: What’s in the Data for Me? (Panel Description)
|
2013 |
VLDB |
- |