The growth of data both structured and unstructured will present challenges as well as opportunities for industries and academia over the next few years. With the explosive growth of data volumes, it is essential that real-time information that is of use to the business can be extracted to deliver better insights to decision-makers, understand complex patterns etc. Computational Intelligence tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. The main building blocks of computational intelligence involve computational modelling of biological and natural intelligent systems, multi-agent systems, hybrid intelligent systems etc.

BigDaCI’24 will focus on the following themes:

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