12th International Conference on Data Mining and Database (DMDB 2025)

The 12th International Conference on Data Mining and Database (DMDB 2025) brings together researchers to present and discuss significant advancements in data mining and database management systems.

Key Topics

• Data Mining
• Algorithms and Bioinformatics
• 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
• Constraint Modelling and Processing
• Database Management Systems
• Data and Information Networks
• Data and Information Integration & Modelling
• Data and Information Quality
• Data and Information Privacy and Security
• Data and Information Streams
• Data and Information Semantics
• Data Mining Algorithms
• Data Management in Grid and P2P Systems
• Data Structures and Data Management Algorithms
• Data Mining Systems, Data Warehousing, OLAP
• DB Systems & Applications
• Database and Information System Architecture and Performance
• Distributed, Parallel, P2P, and Grid-based Databases
• Digital Libraries
• Electronic Government & eParticipation
• Electronic Commerce and Web Technologies
• Expert Systems, Decision Support Systems & applications
• Expert Systems and Decision Support Systems
• Information Systems
• Information Retrieval and Database Systems
• Knowledge Acquisition, discovery & Management
• Interoperability
• Knowledge Modelling
• Knowledge and information processing
• Metadata Management
• Knowledge Processing
• Mobile Data and Information
• Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia
• 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