6^th International Conference on Data Mining and Database (DMDB 2019) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Data Mining

• Data Mining Foundations
• Data Mining Applications
• Knowledge Processing

Data Base

• Constraint Modeling and Processing
• Data and Information Integration & Modeling
• Data and Information Networks
• Data and Information Privacy and Security
• Data and Information Quality
• Data and Information Semantics
• Data and Information Streams
• Data Management in Grid and P2P Systems
• Data Mining Algorithms
• Data Mining Systems, Data Warehousing, OLAP
• Data Structures and Data Management Algorithms
• Database and Information System Architecture and Performance
• DB Systems & Applications
• Digital Libraries
• Distributed, Parallel, P2P and Grid-based Databases
• Electronic Commerce and Web Technologies
• Electronic Government & E-Participation
• Expert Systems and Decision Support Systems
• Expert Systems, Decision Support Systems & Applications
• Information Retrieval and Database Systems
• Information Systems
• Interoperability
• Knowledge Acquisition, Discovery & Management
• Knowledge and Information Processing
• Knowledge Modeling
• Knowledge Processing
• Metadata Management
• Mobile Data and Information
• Multi-Databases and Database Federation
• Multimedia, Object, Object Relational and Deductive Databases
• Pervasive Data and Information
• Process Modeling
• Process Support and Automation
• Query Processing and Optimization
• Semantic Web and Ontologies
• Sensor Data Management
• Statistical and Scientific Databases
• Temporal, Spatial and High Dimensional Databases
• Trust, Privacy & Security in Digital Business
• User Interfaces to Databases and Information Systems
• Very Large Data Bases
• Workflow Management and Databases
• WWW and Databases
• XML and Databases