The 12th International Conference on Data Processing and Applications (ICDPA 2026)

Key Topics

• (not exhaustive):
• Topics of Interest
• Big data analytics
• Algorithms and Systems for Big Data Search
• Big Data Architectures
• Big Data Analytics and Metrics
• Big Data for Enterprise
• Big Data Economics
• Big Data for Business Model Innovation
• Big data experiences
• Big Data in Business Performance Management
• Big Data for Enterprise Transformation
• Big Data in Mobile and Pervasive Computing
• Big Data in Government Management Models and Practices
• Big Data Management
• Big Data in Smart Planet Solutions
• Big data medical records
• Big data medical devices
• Big Data Search and Mining
• Big data processing
• Big data systems
• Big Data Storage, Processing and Transformation
• Cloud Computing Techniques for Big Data
• Business/Corporate/Industrial Data Mining
• Data fusion and integration
• Collaborative Threat Detection using Big Data Analytics
• Data mining Applications
• Data Mining Algorithms
• Data Mining in Logistics
• Data mining Foundations
• Database and Information System Architecture and Performance
• Data Mining, Clustering and Knowledge Discovery
• Databases Systems and Applications
• Databases and Information Retrieval
• Distributed and grid based data mining
• Data-mining grids
• Distributed, Parallel, P2P, and Grid-based Databases Engineering Mining
• Distributed, and Peer-to-peer Search
• Information Retrieval and Database Systems
• Explorative and visual data mining
• Management Issues of Social Network enabled Big Data
• Machine learning based on Big Data
• Military Data Mining
• Medicine Data Mining
• Mobile Data and Information
• Mining text and semi-structured data
• Multi-databases and Database Federation XML and Databases
• Models and Languages for Big Data Protection
• Parallel, Distributed and Grid Data Management
• Multimedia mining (audio/video)
• Representation Formats for Multimedia Big Data
• Privacy, Trust and Security in Databases
• Scientific Applications of Big Data
• Scientific and Statistical Databases
• Security Data Mining
• Security Applications of Big Data
• Social Science Mining
• Sensor and Mobile Data Management
• Temporal, Spatial, and High Dimensional Databases
• Statistical and Scientific Databases
• Very Large Data Bases
• User Interfaces to Databases and Information Systems
• Web mining
• Visualization Analytics for Big Data
• XML and Semi-Structured Databases
• Workflow Management and Databases