53rd International Conference on Very Large Data Bases (VLDB 2027)

The 53rd International Conference on Very Large Data Bases (VLDB 2027) is dedicated to issues in data management, database and information systems research.

Key Topics

• Data Privacy and Security
  • Blockchain
  • Access control and privacy
• Data Mining and Analytics
  • Mining/analysis of different types of data (e.g., scientific/business, social networks, streams, text, web, graphs, rules, patterns, logs, and spatio-temporal)
  • Data warehousing, OLAP, parallel and distributed data mining
• Distributed Database Systems
  • Data networking and content delivery
  • Cloud data management, resource management, database as a service
  • Distributed transactions
  • Distributed analytics
• Database Engines
  • Currency control, recovery, and transactions
  • Access methods
  • Multi-core processing and hardware acceleration
  • Memory and storage management
  • Views, indexing, and search
  • Query processing and optimization
  • Administration and manageability
  • Database Performance and Manageability
  • Tuning, benchmarking, and performance measurement
• Information Integration and Data Quality
  • Heterogeneous and federated DBMS, metadata management
  • Data cleaning, data preparation
  • Schema matching, data integration
  • Knowledge graphs and knowledge management
  • Web data management and Semantic Web
  • Source discovery
• Graph and Network Data
  • Hierarchical, non-relational, and other modern data models
  • Graph data management
  • Social networks
• Machine Learning, AI, and Databases
  • Data management issues and support for ML and AI
  • Applied ML and AI for data management
• Languages
  • Schema management and design
  • Data models and query languages
• Provenance and Workflows
  • Process mining
  • Debugging
  • Provenance analytics
  • Profile-based and context-aware data management
• Novel Database Architectures
  • Embedded and mobile databases
  • Data management on novel hardware
  • Real-time databases, sensors and IoT, stream databases
  • Energy-efficient data systems
  • Video management and analytics systems
• Text and Semi-Structured Data
  • Information retrieval
  • Data extraction
  • Text in databases
  • Semi-structured data management, RDF
• Specialized and Domain-Specific Data Management
  • Ethical data management
  • Crowdsourcing
  • Image and multimedia databases
  • Fuzzy, probabilistic, and approximate data
  • Spatial and temporal databases
  • Scientific and medical data management
• User Interfaces
  • Database support for visual analytics
  • Data exploration tools
  • Database usability

Who should Attend

Data management and database vendors, researchers, application developers, practitioners and users.