DBDM 2020 : 8th International Conference on Database and Data Mining

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.

Topics of Interest :

• Constraint Modelling and Processing
• Data and Information Integration & Modelling
• 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 & eParticipation
• Sensor Data Management
• Statistical and Scientific Databases
• Temporal, Spatial, and High Dimensional Databases
• Trust, Privacy & Security in Digital Business
• 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 Modelling
• 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 Modelling
• Process Support and Automation
• Query Processing and Optimization
• Semantic Web and Ontologies
• User Interfaces to Databases and Information Systems
• Very Large Data Bases
• Workflow Management and Databases
• WWW and Databases
• XML and Databases

Data mining foundations

Parallel and Distributed Data mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text video, Multimedia Data Mining, Web mining,Pre-processing Techniques, Visualization, Security and Information Hiding in Data Mining.

Data mining Applications

Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining.

Knowledge Processing

Data and knowledge Representation, Knowledge Discovery Framework and Process, including Pre and Post-processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating, and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration/Visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining From low-Quality Information Sources.