12th International Conference on Data Mining and Database Management Systems (DMDBS 2026)

The 12th International Conference on Data Mining and Database Management Systems (DMDBS 2026) brings together advances in data mining, database architectures, knowledge processing, and secure information systems for diverse applications and platforms.

Key Topics

• Database Management Systems
  • Data and Information Integration & Modelling
  • Constraint Modelling and Processing
  • Data and Information Privacy and Security
  • Data and Information Networks
  • Data and Information Semantics
  • Data and Information Quality
  • Data Management in Grid and P2P Systems
  • Data and Information Streams
  • Data Mining Systems, Data Warehousing, OLAP
  • Data Mining Algorithms
  • Database and Information System Architecture and Performance
  • Data Structures and Data Management Algorithms
  • Digital Libraries
  • DB Systems & Applications
  • Electronic Commerce and Web Technologies
  • Distributed, Parallel, P2P, and Grid-based Databases
  • Expert Systems and Decision Support Systems
  • Electronic Government & eParticipation
  • Information Retrieval and Database Systems
  • Expert Systems, Decision Support Systems & applications
  • Interoperability
  • Information Systems
  • Knowledge and information processing
  • Knowledge Acquisition, discovery & Management
  • Knowledge Processing
  • Knowledge Modelling
  • Mobile Data and Information
  • Metadata Management
  • Multimedia, Object, Object Relational, and Deductive Databases
  • Multi-databases and Database Federation
  • Process Modelling
  • Pervasive Data and Information
  • Query Processing and Optimization
  • Process Support and Automation
  • Sensor Data Management
  • Semantic Web and Ontologies
  • Temporal, Spatial, and High Dimensional Databases
  • Statistical and Scientific Databases
  • User Interfaces to Databases and Information Systems
  • Trust, Privacy & Security in Digital Business
  • Workflow Management and Databases
  • Very Large Data Bases
  • XML and Databases
  • WWW and Databases
• Data Mining
  • Data mining in modeling, visualization, personalization, and recommendation
  • Data mining Applications
  • Foundations, algorithms, models, and theory
  • Data mining systems and platforms, efficiency, scalability, and privacy
  • Knowledge processing
  • Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia