Track 3: Database and Data Science

Topics of interest include, but are not limited to:

Active databases
Authorization, privacy and security in databases
Big data management
Collecting, extracting and indexing web data
Conceptual data modeling
Concurrency control and recovery in databases
Data annotation and provenance
Data cleaning
Data management in clouds
Data mining
Data mining and knowledge discovery from databases
Data mining/social network analysis and mining
Data on the web
Data science applications
Data visualization & exploration
Dataset retrieval and search
Document management and classification
Heterogeneous, mobile and sensor databases
Information integration and interoperability
Information retrieval in multidimensional and temporal databases
Knowledge graphs, semantic web and linked data
Multimedia databases
Nosql databases
Ontologies and data semantics
Parallel and distributed data management
Peer to peer, parallel and distributed databases
Scientific and statistical databases
Self-managed and autonomic databases
Semi-structured data
Spatial databases and geographical information systems
Stream processing
Workflow applications and databases