Scope

17th International Conference on Advances in Computer Science and Information Technology (DMS 2026)

will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Database Management Systems. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field and establishing new collaborations in these areas.

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.

Topics of Interest

5G and Networks for Big Data
Big Data Analytics and Social Media
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Infrastructure and platform
Big Data Management
Big Data Mining
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Techniques, models and algorithms
Big Data Tools and systems
Cloud and grid computing for Big Data
Constraint Modelling and Processing
Data and information Integration and 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 Applications
Data Mining Foundations
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 and eParticipation
Expert Systems and Decision Support Systems
Expert Systems, Decision Support Systems and Applications
Information Retrieval and Database Systems
Information Systems
Interoperability
Knowledge Acquisition, discovery and Management
Knowledge and Information Processing
Knowledge Modelling
Knowledge Processing
Metadata Management
Machine Learning and AI for Big Data
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
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