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