11th International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BigDaCi 2026)

The 11th International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BigDaCi 2026) focuses on advanced techniques, architectures, and applications for analyzing and extracting insights from large-scale data using data mining and computational intelligence

Key Topics

• Big Data Applications
  • Humanities
  • Web Intelligence
  • Scalable Cloud Data Management
  • Stock Market Analysis
  • Geosciences
  • Privacy and Security
  • Earth Science
  • Manufacturing and Supply Chains
  • High dimensional data
  • Biomedical Informatics
  • B2B Marketing and Sales
  • Social Networks
  • Sustainable development
  • Healthcare
  • Advanced Manufacturing
• Big Data Algorithms and Architectures
  • Programming Techniques
  • Foundations of big data processing
  • Representation Formats
  • Analytics and Metrics
  • Mobile and Pervasive Computing
  • Cloud Computing Techniques
  • Data Quality
  • Data Management
  • Protection, Integrity and Privacy
  • Social Network
  • Visualization
  • Distributed Data Mining
• Multi-Agent Systems: Models, Architectures and Applications
  • Computational Complexity
  • Ontologies
  • Negotiation Strategies
  • Mobile Agents
  • Agent Applications, Technologies and Trends
  • Security, Privacy and Trust
  • Web Agents
  • Agent Models and Architectures
  • Protocols and Standards
• Computational Intelligent Frameworks for Big Data Processing
  • Knowledge based systems
  • Artificial Neural Networks and Learning methods
  • Global optimization methods
  • Uncertainty management
  • Intelligent Internet Systems
  • Intelligent Control Systems
  • Parallel Computation
  • Intelligent Software Systems
  • Systems Modelling
  • Pattern Recognition
  • Web Mining
• Data Mining Topics and Applications
  • Data streams mining
  • Parallel and distributed data mining algorithms
  • Spatial data mining
  • Graph mining
  • Web mining
  • Text video, multimedia data mining
  • Visualization
  • Pre-processing techniques
  • Data Mining Applications
  • Security and information hiding in data mining