BigDaCI — 11th International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2026

The BigDaCI’26 conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. BigDaCI’26 invites authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce.

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