International Conference on Database Theory and Application (ICDTA 2019)

Topics

• Biomedical and healthcare data mining privacy
• Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.)
• Clustering
• Classification and Ranking
• Data and Knowledge Visualization
• Cryptographic tools for privacy preserving data mining
• Data management for ubiquitous and mobile computing
• Data integration and interoperability
• Data modelling and architectures
• Data mining and information extraction
• Data quality
• Data provenance
• Data streaming
• Data security, privacy and trust
• Heterogeneous databases
• Dynamic Data Mining
• Integration of Data Warehousing
• Inference and disclosure control for data mining
• Intermittently connected data
• Interactive and Online Mining
• Mining Trends, Opportunities or Risks
• KDD Process and Human Interaction
• Parallel and Distributed Data Mining
• OLAP and Data Mining
• Privacy and security when mining outsourced data
• Physical database design and performance evaluation
• Privacy Preserving Data Mining
• Privacy preserving data aggregation and integration
• Query processing and optimisation
• Privacy threats due to data mining
• Scientific Databases
• Reliability and Robustness Issues
• Semantic web and ontologies
• Security and privacy in spatio-temporal data mining
• Software Warehouse and Software Mining
• Semi-structured data, metadata
• Text Mining
• Temporal Data
• Web Data and the Internet
• Trust management for data mining
• Data Analysis
• XML and databases, web services
• Others
• Social and mathematical statistics