Conference Information
VLDB 2021: International Conference on Very Large Data Bases
https://vldb.org/2021/
Submission Date:
2021-03-01
Notification Date:
2021-04-15
Conference Date:
2021-08-16
Location:
Copenhagen, Denmark
Years:
47
CCF: a   CORE: a*   Viewed: 45029   Tracked: 131   Attend: 9

Conference Location
Call For Papers
Relevant Themes and Topics

The relevant themes and topics listed below are intended to serve primarily as indicators of the kinds of data-centric subjects that are of interest to PVLDB and they do not represent an exhaustive list

Data mining and analytics

    Data Warehousing, OLAP, Parallel and Distributed Data Mining
    Mining and Analytics for Scientific and Business data, Social Networks, Time Series, Streams, Text, Web, Graphs, Rules, Patterns, Logs, and Spatio-temporal Data

Data Privacy and Security

    Blockchains
    Access Control and Privacy

Database Engines

    Access Methods, Concurrency Control, Recovery and Transactions
    Hardware Accelerators
    Query Processing and Optimization
    Storage Management, Multi-core Databases, In-memory Data Management
    Views, Indexing and Search

Database performance

    Tuning, Benchmarking and Performance Measurement
    Administration and Manageability

Distributed Database Systems

    Content Delivery Networks, Database-as-a-service, and Resource Management
    Cloud Data Management
    Distributed Analytics
    Distributed Transactions

Graphs, Networks, and Semistructured Data

    Graph Data Management, Recommendation Systems, Social Networks
    Hierarchical, Non-relational, and other Modern Data Models

Information Integration and Data Quality

    Data Cleaning, Data Discovery and Data Exploration
    Heterogeneous and Federated DBMS, Metadata Management
    Web Data Management and Semantic Web
    Knowledge Graphs and Knowledge Management

Languages

    Data Models and Query Languages
    Schema Management and Design

Machine Learning, AI and Databases

    Data Management Issues and Support for Machine Learning and AI
    Machine Learning and Applied AI for Data Management

Novel DB Architectures

    Embedded and Mobile Databases
    Real-time databases, Sensors and IoT, Stream Databases
    Crowd-sourcing

Provenance and Workflows

    Profile-based and Context-Aware Data Management
    Process Mining

Specialized and Domain-Specific Data Management

    Fuzzy, Probabilistic and Approximate Data
    Image and Multimedia Databases
    Spatial Databases and Temporal Databases
    Scientific and Medical Data Management

Text, Semi-Structured Data, and IR

    Information Retrieval
    Text in Databases
    Data Extraction

User Interfaces

    Database Usability
    Visualization
Last updated by Dou Sun in 2020-05-15
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IEEE Transactions on Very Large Scale Integration (VLSI) Systems1.946IEEE1063-8210
cIntelligent Data Analysis0.691IOS Press1088-467X
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ACM SIGMIS Database ACM0095-0033
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Measurement and Control1.229SAGE0020-2940
aACM Transactions on Database Systems ACM0362-5915
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