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7th International Conference on Database and Data Mining

April 27-28, 2019, Copenhagen, Denmark

Scope

7th International Conference on Database and Data Mining (DBDM 2019)

Topics

Constraint Modelling and Processing, Data and Information Integration & Modelling, Data and Information Networks

Submission System

Authors are invited to submit papers through the Conference Submission System.

Proceedings

Hard copy of the proceedings will be distributed during the Conference.

Welcome to DBDM 2019

Scope Program Schedule Conference Photos^New

7th International Conference on Database and Data Mining (DBDM 2019) Conference 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

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.