VLDB 2021 : International Conference on Very Large Databases

in Conferences   Posted on September 21, 2020 

Conference Information

Submission Deadline Monday 01 Mar 2021 Proceedings indexed by :
Conference Dates Aug 16, 2021 - Aug 20, 2021
Conference Address Copenhagen, Denmark
Conference & Submission Link http://vldb.org/2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 0
#Contributing Top Scientists 0
#Papers published by Top Scientists 0
Google Scholar H5-index 0
Number of Editions: 47 (Since 1975)
Guide2Research Overall Ranking: 0
DBLP Page https://dblp.uni-trier.de/db/conf/vldb

Conference Call for Papers

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
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
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

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