Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.
Research Impact Score:4.79
Contributing Top Scientist:34
Papers published by Top Scientists43
Research Ranking (Computer Science)112
Conference Call for Papers
Topics that fit the interests of the symposium include, but are not limited to:
Database design: Data models, query languages, schemas, constraints
Database access: Data structures, access methods, concurrency, transactions
Data quality: Data cleaning, data discovery, data exploration
Database processing: Query evaluation, query optimization, schema management, distributed data processing, approximate data processing
Data analysis: Data mining, machine learning, information extraction, data streams
Uncertainty: Incompleteness, inconsistency, ontological query answering, semi-structured data
Interoperability: Mappings and views, data integration, data exchange, ontology-based data access
Responsible data management: Access control, privacy, security, verification, ethical aspects of data management
