研飞ivySCI (青藤学术）

Proceedings of the VLDB Endowment

短名	Proc. VLDB Endow.
Journal Impact	2.41
国际分区	COMPUTER SCIENCE, THEORY & METHODS(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	2150-8097
h-index	153
国内分区	计算机科学(3区)计算机科学计算机理论方法(3区)计算机科学计算机信息系统(4区)

THE PROCEEDINGS OF THE VLDB (PVLDB) 欢迎有关与数据管理各个方面相关的广泛研究主题的原创研究论文，其中系统问题发挥着重要作用，例如数据管理系统技术和信息管理基础设施，包括它们非常大实验规模、新颖的架构和要求苛刻的应用程序以及它们的基础理论。 PVLDB 提交的范围也由下面给出的主题领域描述。此外，PVLDB 的范围仅限于期刊编辑委员会提交主题的综合专业知识所涵盖的科学领域。最后，提交的贡献应该建立在已经在数据管理网点发表的工作之上，例如 PVLDB、VLDBJ、ACM SIGMOD、IEEE ICDE、EDBT、ACM TODS、IEEE TKDE，并且超越句法引用。

涉及主题	计算机科学数学程序设计语言操作系统数据挖掘数据库工程类人工智能情报检索万维网统计理论计算机科学算法生物物理经济组合数学机器学习哲学
出版信息	出版商: Very Large Data Base Endowment Inc.，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2008，原创研究文献占比: 0.00%，自引率:26.90%， Gold OA占比: 0.00%

期刊引文格式

这些示例是对学术期刊文章的引用，以及它们应该如何出现在您的参考文献中。

并非所有期刊都按卷和期组织其已发表的文章，因此这些字段是可选的。有些电子期刊不提供页面范围，而是列出文章标识符。在这种情况下，使用文章标识符而不是页面范围是安全的。

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

以下是创作和编辑的书籍的参考文献的示例。

学位论文引用格式

网页引用格式

这些示例是对网页的引用，以及它们应该如何出现在您的参考文献中。

专利引用格式

Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines

2024-7-1

Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries

2024-7-1

DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training

2024-7-1

Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy

2024-7-1

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization

2024-7-1

AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data

2024-7-1

Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search

2024-7-1

Privately Answering Queries on Skewed Data via Per-Record Differential Privacy

2024-7-1

HAIChart: Human and AI Paired Visualization System

2024-7-1

A Sampling-Based Framework for Hypothesis Testing on Large Attributed Graphs

2024-7-1

Agile-Ant: Self-Managing Distributed Cache Management for Cost Optimization of Big Data Applications

2024-7-1

The Dawn of Natural Language to SQL: Are We Fully Ready?

2024-7-1

Ensemble Clustering Based on Meta-Learning and Hyperparameter Optimization

2024-7-1

nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems

2024-7-1

Efficient Validation of SHACL Shapes with Reasoning

2024-7-1

Complex Event Recognition with Symbolic Register Transducers

2024-7-1

Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks

2024-7-1

LLM-PBE: Assessing Data Privacy in Large Language Models

2024-7-1

OLAP on Modern Chiplet-Based Processors

2024-7-1

LITS: An Optimized Learned Index for Strings

2024-7-1

Distance-Based Outlier Query Optimization in Apache IoTDB

2024-7-1

Hardware-Efficient Data Imputation through DBMS Extensibility

2024-7-1

Saving Money for Analytical Workloads in the Cloud

2024-7-1

D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks

2024-7-1

Evolution Forest Index: Towards Optimal Temporal <i>k</i> -Core Component Search via Time-Topology Isomorphic Computation

2024-7-1

Towards Systematic Index Dynamization

2024-7-1

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

2024-7-1

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD

2024-7-1

Transforming Property Graphs

2024-7-1

Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs

2024-7-1

Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP

2024-7-1

Are Large Language Models a Good Replacement of Taxonomies?

2024-7-1

Efficient Enumeration of Recursive Plans in Transformation-Based Query Optimizers

2024-7-1

Optimizing Video Queries with Declarative Clues

2024-7-1

PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy

2024-7-1

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs

2024-7-1

Why TPC is Not Enough: An Analysis of the Amazon Redshift Fleet

2024-7-1

The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions

2024-7-1

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB

2024-7-1

DDS: DPU-Optimized Disaggregated Storage

2024-7-1

Enriching Relations with Additional Attributes for ER

2024-7-1

A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning

2024-7-1

QED: A Powerful Query Equivalence Decider for SQL

2024-7-1

Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs

2024-7-1

Optimizing Collections of Bloom Filters within a Space Budget

2024-7-1

Chameleon: Foundation Models for Fairness-Aware Multi-Modal Data Augmentation to Enhance Coverage of Minorities

2024-7-1

DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data

2024-7-1

TC-Match: Fast Time-Constrained Continuous Subgraph Matching

2024-7-1

ReCG: Bottom-up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework

2024-7-1

Efficient Index for Temporal Core Queries over Bipartite Graphs

2024-7-1

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理

投稿经验分享

分享我的经验，帮你走得更远

Proceedings of the VLDB Endowment

期刊引文格式

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

学位论文引用格式

网页引用格式

专利引用格式

最新文章

Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines

Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries

DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training

Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization

AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data

Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search

Privately Answering Queries on Skewed Data via Per-Record Differential Privacy

HAIChart: Human and AI Paired Visualization System

A Sampling-Based Framework for Hypothesis Testing on Large Attributed Graphs

Agile-Ant: Self-Managing Distributed Cache Management for Cost Optimization of Big Data Applications

The Dawn of Natural Language to SQL: Are We Fully Ready?

Ensemble Clustering Based on Meta-Learning and Hyperparameter Optimization

nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems

Efficient Validation of SHACL Shapes with Reasoning

Complex Event Recognition with Symbolic Register Transducers

Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks

LLM-PBE: Assessing Data Privacy in Large Language Models

OLAP on Modern Chiplet-Based Processors

LITS: An Optimized Learned Index for Strings

Distance-Based Outlier Query Optimization in Apache IoTDB

Hardware-Efficient Data Imputation through DBMS Extensibility

Saving Money for Analytical Workloads in the Cloud

D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks

Evolution Forest Index: Towards Optimal Temporal <i>k</i> -Core Component Search via Time-Topology Isomorphic Computation

Towards Systematic Index Dynamization

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD

Transforming Property Graphs

Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs

Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP

Are Large Language Models a Good Replacement of Taxonomies?

Efficient Enumeration of Recursive Plans in Transformation-Based Query Optimizers

Optimizing Video Queries with Declarative Clues

PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs

Why TPC is Not Enough: An Analysis of the Amazon Redshift Fleet

The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB

DDS: DPU-Optimized Disaggregated Storage

Enriching Relations with Additional Attributes for ER

A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning

QED: A Powerful Query Equivalence Decider for SQL

Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs

Optimizing Collections of Bloom Filters within a Space Budget

Chameleon: Foundation Models for Fairness-Aware Multi-Modal Data Augmentation to Enhance Coverage of Minorities

DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data

TC-Match: Fast Time-Constrained Continuous Subgraph Matching

ReCG: Bottom-up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework

Efficient Index for Temporal Core Queries over Bipartite Graphs

帮你贴心管理全部的文献.css-5myebc{font-size:14px;font-weight:var(--chakra-fontWeights-normal);margin-top:var(--chakra-space-1);margin-bottom:var(--chakra-space-1);}研飞ivySCI，高效的论文管理

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理