International Conference on Database Theory and Application 2022 (ICDTA 2022) will be the most comprehensive conference focused on the various aspects of advances in Database Theory and Application. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Database Theory and Application.

The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Database Theory and Application.

All papers accepted and registered will be included in STEM Proceedings and selected papers will be included in SCOPUS and EI journals.

Topics of Conference

The main topics include but will not be limited to (Excellent surveying works in these areas are welcome, too.)

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