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2026
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2024
VLDB
2024
A*
International Conference on Very Large Data Bases
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532
accepted papers
499
authors
August 25-29, 2024
dates
China (and hybrid)
location
532
/ 532 papers
All
532
Journal Articles
457
Main Track
75
1
13th International Workshop on Quality in Databases: Preface
Sourav S. Bhowmick
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2
2nd International Workshop on Tabular Data Analysis (TaDA)
Vasilis Efthymiou
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3
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
Minjie Wang
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4
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
Zhicheng Liang
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5
A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer
Honghu Wu
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6
A Branch-&-Bound Algorithm for Fractional Hypertree Decomposition
Zongyan He
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7
A Comprehensive Outlook for Analyzing and Enhancing the Performance of Blockchain Platforms
Jeeta Ann Chacko
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8
A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks
Jiajia Li
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9
A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]
Jongjun Park
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10
A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods
Dingyuan Shi
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11
A Demonstration of TENDS: Time Series Management System based on Model Selection
Yuanyuan Yao
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12
A Flexible Forecasting Stack
Tim Januschowski
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13
A Memory Guided Transformer for Time Series Forecasting
Yunyao Cheng
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14
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Shuhan Zhong
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15
A Reproducible Tutorial on Reproducibility in Database Systems Research
Tim Fischer
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16
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
Yun Wang
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17
A Single Machine System for Querying Big Graphs with PRAM
Yang Liu
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18
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
Chenghao Lyu
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19
A Unified Visual Exploration Framework for (Semi-)structured Data
Théo Bouganim
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20
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
Fei Wei
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21
Accelerating Maximal Clique Enumeration via Graph Reduction
Wen Deng
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22
Accelerating Merkle Patricia Trie with GPU
Yangshen Deng
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23
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Jeongmin Brian Park
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24
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training
Minsu Kim
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ORCID 0009-0003-8751-0352 ↗
25
Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism
Fatemeh Ahmadi
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26
Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction
Yuhan Liu
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27
Accurate and Fast Approximate Graph Pattern Mining at Scale
Anna Arpaci-Dusseau
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28
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators
Xianghong Xu
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29
Adaptive and Robust Query Execution for Lakehouses At Scale
Maryann Xue
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30
Addressing Data Management Challenges for Interoperable Data Science
Ilin Tolovski
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31
AeonG: An Efficient Built-in Temporal Support in Graph Databases
Jiamin Hou
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32
Agent-OM: Leveraging LLM Agents for Ontology Matching
Zhangcheng Qiang
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33
Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications
Hani Al-Sayeh
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34
Aleph Filter: To Infinity in Constant Time
Niv Dayan
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35
ALT-GEN: Benchmarking Table Union Search using Large Language Models
Koyena Pal
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36
An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA
Minseon Ahn
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37
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
Mengzhao Wang
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38
Apache TsFile: An IoT-native Time Series File Format
Xin Zhao
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39
Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs
Qi Zhang
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40
Approximate Functional Dependencies Discovery Using Markov Blanket
Jinqi Liu
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41
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
Benjamin Feuer
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42
Are Joins over LSM-trees Ready: Take RocksDB as an Example
Weiping Yu
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43
Are Large Language Models a Good Replacement of Taxonomies?
Yushi Sun
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44
AutoFAIR : Automatic Data FAIRification via Machine Reading
Tingyan Ma
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45
Automatic Data Repair: Are We Ready to Deploy?
Wei Ni
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46
Automating the Enterprise with Foundation Models
Michael Wornow
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47
AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models
Jun-Peng Zhu
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48
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data
Sebastian Schmidl
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49
Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing
Wentao Huang
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50
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest
Yusuf Abdulle
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