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VLDB 2021 : 47th International Conference on Very Large Data Bases

Copenhagen, Denmark
Event Date: Aug 16, 2021 - Aug 20, 2021
Submission Deadline: Mar 01, 2021
Notification of Acceptance: Apr 15, 2021


VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. The VLDB 2021 conference will feature research talks, tutorials, demonstrations, and workshops. It will cover issues in data management, database and information systems research, since they are the technological cornerstones of the emerging applications of the 21st century.

Call For Paper

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


  • 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

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